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Articles 101371 - 101400 of 1826496
Full-Text Articles in Entire DC Network
The Role Of Triangular Fuzzy Neutrosophic Set-Based Qualiflex In Enhancing University Dance Instruction Assessment, Yu Zhao
Neutrosophic Sets and Systems
The evaluation of university dance teaching quality involves a multi-dimensional approach, including the achievement of teaching objectives, the scientific and innovative nature of course content, the diversity of teaching methods, instructors' professional competence, and students' participation and progress. It uses both quantitative and qualitative analysis, incorporating student feedback and classroom observation to ensure comprehensive assessment. Continuously optimizing teaching strategies, enhances students' artistic literacy and overall abilities, supporting the development of high-level dance talent. The college dance teaching quality evaluation is multiple attribute decision-making (MADM). Recently, the QUALIFLEX method has been established to cope with MADM issues. The triangular fuzzy neutrosophic …
A Neutrosophic Superiority And Inferiority Ranking-Based Model For Resource Allocation Efficiency In University Sports Management, Pute Lan, Jiaqi Guo, Changshun Bai
A Neutrosophic Superiority And Inferiority Ranking-Based Model For Resource Allocation Efficiency In University Sports Management, Pute Lan, Jiaqi Guo, Changshun Bai
Neutrosophic Sets and Systems
The evaluation of resource allocation efficiency in university recreational sports aims to analyze and assess the effectiveness of how universities allocate facilities, equipment, and personnel for recreational sports. By collecting relevant data and applying scientific methods, it evaluates the usage and impact of resources to optimize allocation and enhance student participation and satisfaction. This not only helps improve campus sports culture but also promotes students' physical and mental health and overall development. The resource allocation efficiency evaluation in university recreational sports is a MAGDM problem. Recently, the Superiority and Inferiority Ranking (SIR) method has been employed to cope with MAGDM …
Numerical And Semi Analytical Scheme For Developing A Solution To Falkner Skan Equation In Neutrosophic Environments, B. Amudha, M. Shanmugapriya, R. Sundareswaran, Said Broumi
Numerical And Semi Analytical Scheme For Developing A Solution To Falkner Skan Equation In Neutrosophic Environments, B. Amudha, M. Shanmugapriya, R. Sundareswaran, Said Broumi
Neutrosophic Sets and Systems
This study presents a detailed analysis of the Falkner-Skan equation under uncertainty by employing neutrosophic numbers to represent the uncertainty in no slip conditions and the parameter ��̃. By applying appropriate similarity transformation, partial differential equation (PDE) are converted into ordinary differential equation (ODE). Both the Shooting Method and the Homotopy Perturbation Method (HPM) are utilized to solve ODE’s. These ODE’s are then transmuted into neutrosophic differential equation (NDE) by employing (Α ̃,Β, ̃ Γ ̃)������ approach. The parameter ��̃ and no slip conditions are taken as triangular and trapezoidal neutrosophic numbers. The results are presented graphically to illustrate the …
The First Resolution Of The Travelling Salesman Problem Under Neutrosophic Octagonal Fuzzy Environment, Mariem Miledia, Taicir Loukilb, Souhail Dhouiba
The First Resolution Of The Travelling Salesman Problem Under Neutrosophic Octagonal Fuzzy Environment, Mariem Miledia, Taicir Loukilb, Souhail Dhouiba
Neutrosophic Sets and Systems
The Travelling Salesman Problem (TSP) is a challenging combinatorial optimization problem classified as NP-hard. Its objective is to identify the shortest cycle that visits every city precisely once before returning to the initial city. To the best of our knowledge there is no one in the literature who solved the TSP under the neutrosophic octagonal fuzzy environment. That’s why, in this paper the novel heuristic namely Dhouib-Matrix-TSP1 (DM-TSP1) is exploited to optimize the TSP under the neutrosophic octagonal fuzzy domain. So, this research work represents the first application of DM-TSP1 on this mentioned environment. A defuzzification function is used to …
Enhanced Exprom Methodology Using Superhypersoft Sets For Evaluating The Quality Of Cultural Industry Development In The Digital Economy With Single-Valued Neutrosophic Sets, Yue Zhao
Neutrosophic Sets and Systems
With the advent of the digital economy era, the high-quality development of cultural industry has received people's attention. How to take advantage of the favorable opportunities of rapid development of the digital economy to further promote the innovative development of cultural industry is an important problem that needs to be solved in development process of Chinese cultural industries. The quality evaluation of cultural industry development in the context of the digital economy is MAGDM. The single-valued neutrosophic sets (SVNSs) is a useful tool to cope with uncertain information during the quality evaluation of cultural industry development in the context of …
Some Harmonic Aggregation Operators For N-Valued Neutrosophic Trapezoidal Numbers And Their Application To Multi-Criteria Decision-Making, İrfan Deli̇, Vakkas Uluçay
Some Harmonic Aggregation Operators For N-Valued Neutrosophic Trapezoidal Numbers And Their Application To Multi-Criteria Decision-Making, İrfan Deli̇, Vakkas Uluçay
Neutrosophic Sets and Systems
As an extension of the both trapezoidal fuzzy numbers and neutrosophic trapezoidal numbers, the N-valued neutrosophic trapezoidal numbers, which are special neutrosophic multi-sets on subset of real numbers. Harmonic mean is a conservative average, which is widely used to aggregate central tendency data. In the existing literature, the harmonic mean is generally considered as a fusion technique of numerical data information. In this paper, we investigate a method for the situations in which the input data are expressed in neutrosophic values. Therefore, we propose two aggregations are called harmonic aggregation operators and weighted harmonic mean operators on N-valued neutrosophic trapezoidal …
Innovative Assessment Of Dance Teaching Effectiveness Using The Electre Approach And Neutrosophic Hypersoft Sets For Comprehensive Performance Analysis, Pei Yao
Neutrosophic Sets and Systems
The evaluation of dance teaching quality in universities is a process of assessing the effectiveness of dance courses through multiple dimensions. The focus is on examining students' improvement in dance skills, artistic expression, mastery of theoretical knowledge, teaching methods, and the learning environment. By using scientific evaluation methods, such as multi attribute decision-making models, the quality of teaching is quantified and optimized, promoting students' overall development and the improvement of teaching practices. The evaluation of dance teaching quality is often considered a multiple attribute group decision-making (MAGDM) problem. In this paper, the ELECTRE method is proposed to address MAGDM using …
Advanced T2nn-Taxonomy Framework For Assessing Quality Of Dynamic Logos In Digital Media Via Type-2 Neutrosophic Multi-Criteria Decision Analysis, Yan Lu, Meidi Zhang
Advanced T2nn-Taxonomy Framework For Assessing Quality Of Dynamic Logos In Digital Media Via Type-2 Neutrosophic Multi-Criteria Decision Analysis, Yan Lu, Meidi Zhang
Neutrosophic Sets and Systems
In the context of digital media, the quality evaluation of dynamic logo design focuses on visual impact, brand communication, technical execution, and user experience. Visual impact assesses the logo's appeal and creativity; brand communication examines if the logo accurately reflects the brand image; technical execution looks at animation smoothness and cross-platform compatibility; user experience measures interactivity and memorability. These factors ensure the logo's effectiveness and influence in a digital environment. The evaluation of dynamic logo design quality within the digital media context is Multi-Criteria Decision Analysis (MCDA). Recently, the Taxonomy technique was described to grapple with MCDA. The Type-2 neutrosophic …
A Neutrosophic Approach To Solving First-Order Differential Equations: Applications To Heat Convection With Uncertain Initial Conditions, Said Broumi, M. Shanmugapriya, R. Sundareswaran
A Neutrosophic Approach To Solving First-Order Differential Equations: Applications To Heat Convection With Uncertain Initial Conditions, Said Broumi, M. Shanmugapriya, R. Sundareswaran
Neutrosophic Sets and Systems
This study explores the solution of first-order differential equations (����) using trapezoidal neutrosophic numbers (����������������������) as initial conditions. It examines various forms of ���������������������� based on the dependencies of truth (��), indeterminacy (��), and falsity (��). The application first order DE is illustrated through heat conduction problems in fluids. The temperature distribution ��1(��,��), � �2(��,��), ��1′(��, ��), ��1′′(��, ��), ��2 ′(��, ��) and ��2 ′′(��, ��) are analyzed through tables and graphs. A solution procedure for the system of first-order ODEs is developed and demonstrated with numerical examples.
Intelligent Elderly Care: Practicing Ambiguity Neutrosophic Theory For Optimization Contemporary Machine Learning Techniques In Elderly Care, Mahmoud M. Ismail, Ahmed A. Metwaly, Osama Elkomy, Alaa Al-Ghamry, Mona Mohamed
Intelligent Elderly Care: Practicing Ambiguity Neutrosophic Theory For Optimization Contemporary Machine Learning Techniques In Elderly Care, Mahmoud M. Ismail, Ahmed A. Metwaly, Osama Elkomy, Alaa Al-Ghamry, Mona Mohamed
Neutrosophic Sets and Systems
One of the biggest challenges facing healthcare systems throughout the world is the aging population. The growing number of elderly citizens in need of specialized care is severely straining the available resources and care methods. It is sometimes difficult for traditional care techniques to address the complex and varied requirements of this expanding population. To fix these challenges, inclusion of contemporary technology is imperative and pragmatic solutions such as Internet of Thing (IoT), cloud computing (CC), and artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL). Such AI has potential role to make elderly care services (ECSs) …
Enhanced Mcdm Methodology Under Uncertainty: Applications To Energy Efficiency Evaluation Of Mechanical And Electrical Systems In Public Buildings, Daoming Wang
Neutrosophic Sets and Systems
Evaluation of Mechanical and Electrical systems in public Buildings is a multi- criteria decision-making problem that has various criteria. These criteria can affect energy efficiency. So, we aim to propose an MCDM method for rate the criteria importance and proposed a set of systems to select the best one in energy firms. This section can increase energy efficiency. We applied the ARAS methodology to rank the alternatives. The ARAS methodology is an MCDM method. It applied into criteria independent. The ARAS method is integrated under the plithogenic set to deal with the vague and uncertainty information. The plithogenic set is …
Analytical Solutions Of Heat Transfer Model In Two-Dimensional Case Of Neutrosophic Fredholm Integro-Di Erential Equations, Amer Darweesh, Kamel Al- Khaled, Marwan Alquran, Adel Almalki, Sohad Al-Omari
Analytical Solutions Of Heat Transfer Model In Two-Dimensional Case Of Neutrosophic Fredholm Integro-Di Erential Equations, Amer Darweesh, Kamel Al- Khaled, Marwan Alquran, Adel Almalki, Sohad Al-Omari
Neutrosophic Sets and Systems
This article uses the fractional residual power series (FRPS) method to solve a linear neutrosophic fractional integro-di erential equation in two dimensions. In what context does the term fractional derivative appeared, we presented the modi ed fractional power series method, a new technique that uses fractional power series expansion to approximate neutrosophic fractional integro-di erential equations. A modi ed new method has been formulated, which is an improvement on the RPS, named as Modi ed Fractional Power Series Method (MFPSM), to solve the same problem under investigation. Novel results associated with the rate of convergent and error order of the …
On Consistent And Weak Transitive Neutrosophic Fuzzy Matrices, K. Radhika, M. Kavitha, K. Thirumalai, R. Geethanjaliyadav, N. Buvaneswari, V. Kamalakannan
On Consistent And Weak Transitive Neutrosophic Fuzzy Matrices, K. Radhika, M. Kavitha, K. Thirumalai, R. Geethanjaliyadav, N. Buvaneswari, V. Kamalakannan
Neutrosophic Sets and Systems
This paper delves into the properties of two specific types of Neutrosophic Fuzzy Matrices (NFM) namely consistent and weakly transitive NFM. A significant focus is placed on nilpotent and transitive NFM, highlighting their critical role in the analysis. It is demonstrated that these two types of matrices are controllable, and a formula is derived for determining the canonical form of a weakly transitive NFM. To support and clarify the findings, counterexamples are provided throughout the discussion. We introduce an operation on NFM, referred to as the Gödel implication operator. Utilizing this operator, we establish several significant results for NFM, with …
An Uncertainty Framework For Development Level Evaluation Of Preschool Education In Rural And Remote Communities, Jing Liu, Songlin Tang, Biqiong Luo
An Uncertainty Framework For Development Level Evaluation Of Preschool Education In Rural And Remote Communities, Jing Liu, Songlin Tang, Biqiong Luo
Neutrosophic Sets and Systems
This study proposed an uncertainty framework for evaluation of Integrated Preschool with School in Rural and Remote Communities. This evaluation has various criteria so, we used the concept of multi-criteria decision making (MCDM). There are various MCDM methods to deal with decision making problems. We used the COPRAS method to rank the alternatives. COPRAS is a MCDM method dealing with various criteria and alternatives. This study used the Plithogenic sets to deal with uncertainty and vague information. Three experts are invited to evaluate the criteria and alternatives. Case study with an empirical example with nine criteria and nine alternatives is …
Pentapartitioned Neutrosophic Soft Set With Interval Membership, Mithun Datta, Kalyani Debnath, Surapati Pramanik
Pentapartitioned Neutrosophic Soft Set With Interval Membership, Mithun Datta, Kalyani Debnath, Surapati Pramanik
Neutrosophic Sets and Systems
In this article, the concept of Interval valued pentapartitioned neutrosophic soft set (IVPNSS) has been introduced, which is a hybrid method by combining Pentapartitioned Neutrosophic set and Interval valued soft set. IVPNSS is an ordered pair of a function and an interval valued pentapartitioned neutrosophic set, which is the domain of the function and co-domain is the assembly of all the interval valued pentapartitioned neutrosophic sets (IVPNS). Additionally, some basic operations on IVPNSSs have been defined which plays an imperative role in decision making processes. Some useful properties of IVPNSS are also presented in the article. In the end, the …
Plithogenic Sets-Based Mabac Framework For Evaluating The Quality Of Elderly Care Security Services For Left-Behind Elderly In Rural Areas Of Western China: A Healthcare Industry Perspective, Chenghua Wang, Xiaogang Liu, Jiyun Yao
Plithogenic Sets-Based Mabac Framework For Evaluating The Quality Of Elderly Care Security Services For Left-Behind Elderly In Rural Areas Of Western China: A Healthcare Industry Perspective, Chenghua Wang, Xiaogang Liu, Jiyun Yao
Neutrosophic Sets and Systems
This study proposed a multi-criteria decision-making (MCDM) methodology for evaluating the elderly care security services. These services consist various criteria, so the MCDM methodology is used. MABAC methodology is a MCDM method used to rank the alternatives. The MABAC methodology is integrated under the plithogenic sets to deal with vague and uncertainty data. The plithogenic sets are an extension of neutrosophic sets to deal with inconsistencies data. The criteria weights are computed in this study. Seven criteria and 13 alternatives are collected in this study. An application with opinions of three experts evaluate the criteria and alternatives. The results show …
Mappings Of Plithogenic Cubic Sets, S.P. Priyadharshini, J. Ramkumar
Mappings Of Plithogenic Cubic Sets, S.P. Priyadharshini, J. Ramkumar
Neutrosophic Sets and Systems
Objectives: To introduce novel mappings for plithogenic fuzzy cubic structures and derive core properties of stable and almost stable plithogenic neutrosophic cubic mappings. Methods: This study employs a theoretical approach to develop mappings for plithogenic cubic sets. We conducted a comprehensive analysis of stable and almost stable mappings, utilizing comparative techniques to assess their properties. Unique modifications include the introduction of specific stability criteria and a detailed examination of their implications in decision-making contexts. Findings: Our findings reveal that the newly introduced mappings exhibit distinct stability characteristics, enhancing the theoretical framework of Plithogenic cubic mapping. These mappings not only align …
Weighted Statistical Convergence In Neutrosophic Normed Linear Spaces, P. Jenifer, M. Jeyaraman, M. Mursaleen
Weighted Statistical Convergence In Neutrosophic Normed Linear Spaces, P. Jenifer, M. Jeyaraman, M. Mursaleen
Neutrosophic Sets and Systems
In this research, the authors provide a de nition among the Neutrosophic norm(NN)( terms of the summability property ( Nqn). We generalize the idea among Statistical Convergence (SC) in terms of NN by introducing the notion of ( Nqn)-summability with respect to NN( ... ) in ). Here, the novel strategy is referred to by the term neutrosophic weighted statistical convergence. We also investigated its dependence on the NN( ... ) in terms of statistical convergence and ( Nqn)-summability.
Neutrosophic Sets And Systems, Vol. 79,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets And Systems, Vol. 79,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets and Systems
the whole volume
The Metabolic Basis Of Cancer-Related Fatigue, Robert Dantzer, Brandon Chelette, Elisabeth G Vichaya, A Phillip West, Aaron Grossberg
The Metabolic Basis Of Cancer-Related Fatigue, Robert Dantzer, Brandon Chelette, Elisabeth G Vichaya, A Phillip West, Aaron Grossberg
Faculty, Staff and Student Publications
Although we are all familiar with the sensation of fatigue, there are still profound divergences on what it represents and its mechanisms. Fatigue can take various forms depending on the condition in which it develops. Cancer-related fatigue is considered a symptom of exhaustion that is often present at the time of diagnosis, increases in intensity during cancer therapy, and does not always recede after completion of treatment. It is usually attributed to the inflammation induced by damage-associated molecular patterns released by tumor cells during cancer progression and in response to its treatment. In this review, we argue that it is …
'When The State Looks At You': Administering Whiteness Through Surveillance, Affect, And Efficiency In Elementary Literacy Teaching, Michael J. Young
'When The State Looks At You': Administering Whiteness Through Surveillance, Affect, And Efficiency In Elementary Literacy Teaching, Michael J. Young
Faculty Publications - College of Education
Elementary literacy education policy continues to centre intensified use of standardised testing in the early elementary grades across the United States. The increase of datafication in schooling works to establish a surveillance system in schools. Including analysis through the lenses of Foucauldian disciplinary power and critical whiteness studies, this qualitative article examines teacher narratives from five white elementary literacy teachers. Through these narratives, these teachers share their lived experiences in navigating school reforms involving increased datafication. Findings highlight the affective technologies and colonial discursive constructions white teachers employed through this surveillance and how literacy and literacy teaching were shaped through …
When Anti-Fraud Laws Become A Barrier To Computer Science Research, Madelyne Xiao, Andrew Sellars, Sarah Scheffler
When Anti-Fraud Laws Become A Barrier To Computer Science Research, Madelyne Xiao, Andrew Sellars, Sarah Scheffler
Faculty Scholarship
Computer science research sometimes brushes with the law, from red-team exercises that probe the boundaries of authentication mechanisms, to AI research processing copyrighted material, to platform research measuring the behavior of algorithms and users. U.S.-based computer security research is no stranger to the Computer Fraud and Abuse Act (CFAA) and the Digital Millennium Copyright Act (DMCA) in a relationship that is still evolving through case law, research practices, changing policies, and legislation
Amid the landscape computer scientists, lawyers, and policymakers have learned to navigate, anti-fraud laws are a surprisingly under-examined challenge for computer science research. Fraud brings separate issues that …
Frailty And Sleep In Adult Survivors Of Childhood Cancer: A Childhood Cancer Survivor Study Report, Lauren C Daniel, Margaret M Lubas, Huiqi Wang, Mariana Szklo-Coxe, Kirsten K Ness, Daniel A Mulrooney, Wendy Leisenring, Yutaka Yasui, Leslie L Robison, Gregory T Armstrong, Eric J Chow, Kevin R Krull, Tara M Brinkman
Frailty And Sleep In Adult Survivors Of Childhood Cancer: A Childhood Cancer Survivor Study Report, Lauren C Daniel, Margaret M Lubas, Huiqi Wang, Mariana Szklo-Coxe, Kirsten K Ness, Daniel A Mulrooney, Wendy Leisenring, Yutaka Yasui, Leslie L Robison, Gregory T Armstrong, Eric J Chow, Kevin R Krull, Tara M Brinkman
Faculty, Staff and Student Publications
Background: Young adult survivors of childhood cancer exhibit rates of frailty similar to adults several decades older without a cancer history. Frailty has been associated with sleep disturbances in non-cancer populations, but the relationship has not been examined in childhood cancer survivors who are known to exhibit elevated rates of sleep problems.
Aims: Examine associations between frailty and poor sleep quality in long-term survivors of childhood cancer.
Methods: This study utilized data from 9044 participants (> 5 years from diagnosis, Mage = 40.8 years [SD = 9.5]) in the Childhood Cancer Survivor Study. Survivors' frailty status, chronic health conditions (CHC), …
On The Acceptance, Commissioning, And Quality Assurance Of Electron Flash Units, Allison Palmiero, Kevin Liu, Julie Colnot, Nitish Chopra, Denae Neill, Brett Velasquez, Steven H Lin, Peter Balter, Ramesh Tailor, Charlotte Robert, Jean-François Germond, Patrik Gonçalves Jorge, Reiner Geyer, Sam Beddar, Raphael Moeckli, Emil Schüler
On The Acceptance, Commissioning, And Quality Assurance Of Electron Flash Units, Allison Palmiero, Kevin Liu, Julie Colnot, Nitish Chopra, Denae Neill, Brett Velasquez, Steven H Lin, Peter Balter, Ramesh Tailor, Charlotte Robert, Jean-François Germond, Patrik Gonçalves Jorge, Reiner Geyer, Sam Beddar, Raphael Moeckli, Emil Schüler
Faculty, Staff and Student Publications
Background and purpose: FLASH or ultra-high dose rate (UHDR) radiation therapy (RT) has gained attention in recent years for its ability to spare normal tissues relative to conventional dose rate (CDR) RT in various preclinical trials. However, clinical implementation of this promising treatment option has been limited because of the lack of availability of accelerators capable of delivering UHDR RT. Commercial options are finally reaching the market that produce electron beams with average dose rates of up to 1000 Gy/s. We established a framework for the acceptance, commissioning, and periodic quality assurance (QA) of electron FLASH units and present an …
A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Ryan Sun, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin
A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Ryan Sun, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin
Faculty, Staff and Student Publications
Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …
Rapidbrachyivbt: A Dosimetry Software For Patient-Specific Intravascular Brachytherapy Dose Calculations On Optical Coherence Tomography Images, Maryam Rahbaran, Jonathan Kalinowski, Joseph M Decunha, Kevin J Croce, Brian A Bergmark, Phillip M Devlin
Rapidbrachyivbt: A Dosimetry Software For Patient-Specific Intravascular Brachytherapy Dose Calculations On Optical Coherence Tomography Images, Maryam Rahbaran, Jonathan Kalinowski, Joseph M Decunha, Kevin J Croce, Brian A Bergmark, Phillip M Devlin
Faculty, Staff and Student Publications
Background: Coronary artery disease is the most common form of cardiovascular disease. It is caused by excess plaque along the arterial wall, blocking blood flow to the heart (stenosis). A percutaneous coronary intervention widens the arterial wall with the inflation of a balloon inside the lesion area and leaves behind a metal stent to prevent re-narrowing of the artery (restenosis). However, in-stent restenosis may occur due to damage to the arterial wall tissue, triggering neointimal hyperplasia, producing fibrotic and calcified plaques and narrowing the artery again. Drug-eluting stents, which slowly release medication to inhibit neointimal hyperplasia, are used to prevent …
Imaging Lung Tumor Motion Using Integrated-Mode Proton Radiography-A Phantom Study Towards Tumor Tracking In Proton Radiotherapy, Ryan Fullarton, Mikaël Simard, Lennart Volz, Allison Toltz, Savanna Chung, Daniel G Robertson, Sam Beddar, Colin Baker, Christian Graeff, Charles-Antoine Collins-Fekete
Imaging Lung Tumor Motion Using Integrated-Mode Proton Radiography-A Phantom Study Towards Tumor Tracking In Proton Radiotherapy, Ryan Fullarton, Mikaël Simard, Lennart Volz, Allison Toltz, Savanna Chung, Daniel G Robertson, Sam Beddar, Colin Baker, Christian Graeff, Charles-Antoine Collins-Fekete
Faculty, Staff and Student Publications
BACKGROUND: Motion of lung tumors during radiotherapy leads to decreased accuracy of the delivered dose distribution. This is especially true for proton radiotherapy due to the finite range of the proton beam. Methods for mitigating motion rely on knowing the position of the tumor during treatment.
PURPOSE: Proton radiography uses the treatment beam, at an energy high enough to traverse the patient, to produce a radiograph. This work shows the first results of using an integrated-mode proton radiography system to track the position of moving objects in an experimental phantom study; demonstrating the potential of using this method for measuring …
Hsp90: Bringing It All Together, Georgios Ioannis Karras, Giorgio Colombo, Andrea N Kravats
Hsp90: Bringing It All Together, Georgios Ioannis Karras, Giorgio Colombo, Andrea N Kravats
Faculty, Staff and Student Publications
Heat-shock protein 90 (Hsp90) is an ancient and multifaceted protein-folding machine essential for most organisms. The past 40 years have uncovered remarkable complexity in the regulation and function of Hsp90, which dwarfs most other machines in the cell in sophistication. Here, we propose four analogies to illustrate Hsp90's sophistication: a multifunctional Swiss Army knife, an automobile engine and its controls, a switchboard acting as a hub and directing signals, and an orchestra conductor setting the tempo of a symphony. Although each of these analogies represents some key Hsp90 activities, none of them captures the entirety of Hsp90's complexity. Together, these …
Stereotactic Body Radiotherapy Vs Sorafenib Alone In Hepatocellular Carcinoma: The Nrg Oncology/Rtog 1112 Phase 3 Randomized Clinical Trial, Laura A Dawson, Kathryn A Winter, Jennifer J Knox, Andrew X Zhu, Sunil Krishnan, Lisa A Kachnic, Theodore S Hong, Timothy D Craig, Terence M Williams, Ali Hosni, Eric Chen, Anne M Noonan, Eugene J Koay, Rishi Sinha, Michael I Lock, Nitin Ohri, Jennifer A Dorth, Guila Delouya, Anand Swaminath, Jennifer Moughan, Christopher H Crane
Stereotactic Body Radiotherapy Vs Sorafenib Alone In Hepatocellular Carcinoma: The Nrg Oncology/Rtog 1112 Phase 3 Randomized Clinical Trial, Laura A Dawson, Kathryn A Winter, Jennifer J Knox, Andrew X Zhu, Sunil Krishnan, Lisa A Kachnic, Theodore S Hong, Timothy D Craig, Terence M Williams, Ali Hosni, Eric Chen, Anne M Noonan, Eugene J Koay, Rishi Sinha, Michael I Lock, Nitin Ohri, Jennifer A Dorth, Guila Delouya, Anand Swaminath, Jennifer Moughan, Christopher H Crane
Faculty, Staff and Student Publications
Importance: Most patients with locally advanced hepatocellular carcinoma (HCC) recur within the liver following systemic therapy.
Objective: To determine whether stereotactic body radiation therapy (SBRT) improves outcomes in patients with locally advanced HCC compared with sorafenib alone.
Design, setting, and participants: This multicenter phase 3 randomized clinical trial randomized patients with HCC 1:1 to sorafenib or SBRT followed by sorafenib, stratified by performance status, liver function, degree of metastases, and macrovascular invasion. Eligible patients had HCC unsuitable for or refractory to standard local-regional therapies and were candidates for first-line systemic therapy. Data were collected from April 2013 to March 2021, …
Association Of Systemic Inflammation And Long-Term Dysfunction In Covid-19 Patients: A Prospective Cohort, Felipe Dal-Pizzol, Bruno Kluwe-Schiavon, Henrique Ritter Dal-Pizzol, Gabriele Da Silveira Prestes, Diogo Dominguini, Lucas Santos, Daniel Pens Gelain, Roger Walz, Tatiana Barichello, Cristiane Ritter
Association Of Systemic Inflammation And Long-Term Dysfunction In Covid-19 Patients: A Prospective Cohort, Felipe Dal-Pizzol, Bruno Kluwe-Schiavon, Henrique Ritter Dal-Pizzol, Gabriele Da Silveira Prestes, Diogo Dominguini, Lucas Santos, Daniel Pens Gelain, Roger Walz, Tatiana Barichello, Cristiane Ritter
Faculty, Staff and Student Publications
COVID-19 has significant long-term impacts, including a chronic syndrome known as long-COVID, characterized by persistent symptoms post-recovery. The inflammatory response during acute infection is hypothesized to influence long-term outcomes. This study aimed to identify inflammatory biomarkers predictive of functional outcomes one year after hospital discharge. A prospective cohort study was conducted with 213 COVID-19 patients admitted to ICUs in Southern Brazil between June and November 2020. After exclusions and follow-ups, 109 patients were evaluated for one-year post-discharge. Plasma levels of Th1 (TNF-α, INF-γ, IL-12), Th2 (IL-4, IL-5, IL-6, IL-10, IL-13), and Th17 (IL-17, IL-22) cytokines were measured. Functional outcomes in …