Digital Commons Network^™

Optimizing Tourism Offers With Copras-Svns For Stress Reduction And Sustainability Promotion, Freddy Anaximandro Álvarez Lema, Manuel Antonio Abarca Zaquinaula, Milton Alberto Sampedro Arrieta, Rodolfo Matius Mendoza Poma

Neutrosophic Sets and Systems

This study focused on the evaluation of tourist packages in the Pichincha region, Ecuador, designed to combine sustainability and stress reduction. Its main objective was to identify the most effective alternatives using mul-ticriteria decision methods, incorporating neutrosophic logic as a key approach. Eight tourist packages were ana-lyzed, integrating activities such as reforestation, meditation, and rural tourism with organic gardens, all aimed at environmental sustainability and the emotional well-being of participants. Using the neutrosophic correlation method, the most relevant criteria for subsequent analysis were selected. The application of the COPRAS-SVNS method determined that the "Eco-destinations with electric bicycle" package represented the …

The Tourism Infrastructure Of Rural Areas And Its Relationship With Visitor Satisfaction At The Tourist Destination Incorporating Neutrosophic Analysis Of Uncertainty, Sofía G. Lovato-Torres, María T. Ortiz-Luzuriaga, Gissela M. Saltos-Santana, Verónica Coronel-Pérez

Neutrosophic Sets and Systems

This study examined how several predictor variables, such as lodging, transportation, natural resources, telecommunications, and cultural values, related to how satisfied people were with tourist destinations in rural areas. Data from 647 travelers was evaluated using a multiple linear regression technique. The findings showed that visitor destination satisfaction correlates significantly with all predictor variables. In particular, the biggest influence was found in cultural values, which were followed by transportation and natural resources. These results provide a thorough grasp of the elements influencing visitor happiness at tourist destinations, giving managers useful information for enhancing the experience of tourists. This study developed …

Ncc: Neutrosophic Control Charts, A Didactic Way To Detect Cardiac Arrhythmias From Reading Electrocardiograms, Lorenzo Cevallos-Torres, Jefferson Núñez-Gaibor, Maikel Leyva-Vasquez, Víctor Gómez-Rodríguez, Franklin Parrales-Bravo, Jesús Hechavarría-Hernández

Neutrosophic Sets and Systems

Cardiac arrhythmias are cardiovascular conditions caused by irregularities in the formation or transmission of electrical impulses. To identify these arrhythmias and determine their origin, an electrocardiogram (ECG) is used, which graphically records the electrical activity responsible for each heartbeat over a short period. This analysis can reveal stochastic changes, introducing a degree of uncertainty. To detect these changes, neutrosophic control charts provide an appropriate statistical tool to assess the stability of the ECG, anticipate potential heart failures, reduce variability in measurements, and, in some cases, make predictions. The results indicate that the proposed model is highly accurate in detecting and …

Mixed Graph In Fuzzy, Neutrosophic, And Plithogenic Graphs, Takaaki Fujita, Florentin Smarandache

Neutrosophic Sets and Systems

Graph theory examines networks consisting of nodes (vertices) and the connections (edges) between them. Mixed graphs, which combine both undirected and directed edges, provide a versatile framework for representing relationships with symmetric and asymmetric connections across various systems. In this work, we introduce and analyze the concept of mixed graphs within the contexts of Fuzzy Graphs, Neutrosophic Graphs, and Turiyam Neutrosophic Graphs. By exploring their properties, interrelations, and potential applications, we aim to advance theunderstanding of uncertain graphs.

Applying Neutroalgebra And Neutrosophic Sentiment Analysis To Assess Last Mile Logistics Impact On Customer Experience, Rosa María Criollo Delgado, Julio Cesar Vidal Rischmoller, Sergio Marcelo Palomino Criollo

Neutrosophic Sets and Systems

The aim of the paper entitled Neutrosophic Sentiment Assessment Using Neutroalgebra Applied to Last Mile Impact on Customer Experience explains the assessment of how factors related to last mile logistics impact cus-tomer perception. While there are many articles and research studies related to last mile logistics, the body of such articles simply focuses on repeating ordinary scope quantitative and qualitative analysis with an urban fo-cus. This paper is intended to be an innovative contribution to the existing body of knowledge by ‘catching the wave’ of the current state of algebra and employing neutrosophy to develop a better understanding and model-ing …

Media Pressure And Pretrial Detention Requirements In Ucayali, Peru: A Study Based On Neutrosophic Measures, Alan Christian López Castillo, Edward Usaqui Barbaran, Miguel Oscar López Orellana, Aníbal Campos Barreto, Llesica Soria Ramirez, Wilmer Ortega Chávez, Víctor Tedy López Panaifo, Alex Davis Astohuaman Huaranga

Neutrosophic Sets and Systems

This study is based on a qualitative approach and analyses the influence of media pressure on judicial decisions regarding pretrial detention in Peruvian criminal proceedings. Four media cases were selected as a sample and documentary analysis techniques were used. The results reveal that media pressure plays an important role in judicial decisions, acting through various mechanisms such as exposure to information, public pressure, and so-cial legitimation. In some cases, media pressure has been a determining factor, while in others it has had a more subtle influence. Judges must be aware of this influence and take measures to prevent it from …

Effect Of The 7p'S Of The Marketing Mix On The Sales Strategies Of A Private University: A Comprehensive Analysis Using The Neutrosoph-Ic Pest-Swot Approach, Danny Joseph Anthony Flores Villarruel, Rosa María Criollo Delgado

Neutrosophic Sets and Systems

The article focuses on the effect of the 7Ps of the Marketing Mix with respect to the Sales Strategies of a Private University exploring a growing trend in development towards the educational market. Although there have been some recent developments towards most of those substantially engaged with educational marketing, there seems to be a clear lag in research addressing how these variables relate to higher education institutions especially in areas where political-economic, social and technological determinants are of great importance. The study also seeks to address these issues using a neutrosophic PEST-SWOT approach in the hope of position-ing external factors …

2-Tuple Linguistic Neutrosophic Numbers And Variance Analysis To Examine Citizenship Formation In The General Studies Programs At The Universities Of Lima, Marco Antonio Tarifeño Ramírez, Ada Lucía Gallegos Ruiz Conejo, Héctor Félix Cerna Maguiña, Nancy Elizabeth Alberca Pintado, Carlos Edwin Rojas Saldívar, Secundino Marrero Ramírez

Neutrosophic Sets and Systems

At all stages of their academic lives, students can benefit from the knowledge gained through collaborative learning. After completing basic training, you will have the opportunity to review historical understanding concepts. Its purpose is to promote the exploration of concepts such as democratic citizenship that can be linked to direct experience of republican history and academic study. The purpose of this study was to examine the relationship between civic education human rights and civic training using Neutrosophic analysis of variance and 2-tuple linguistic neutrosophic numbers. It is assumed that historical awareness and reflection on the natural environment, developed institutionally, in …

Puccinellia (Puccinellia Ciliata) For Dryland Salinity Management, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Puccinellia (Puccinellia ciliata) is a potentially valuable fodder on waterlogged saline land. Puccinellia, Distichlis and marine couch are the most salt tolerant of the commercially available grasses. It is best suited to areas with more than 400mm annual rainfall and where the watertable is shallow over summer.

The Department of Primary Industries and Regional Development recommends that any dryland salinity management is part of a whole farm, and preferably a whole catchment, water management plan.

Roaded Catchments In Wa, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Roaded catchments are earthwork structures designed to increase the amount of run-off from the catchment above a receiving farm dam.

Roaded catchments are lined with clay and compacted to make a smooth surface that reduces infiltration and increases run-off. Roaded catchments should discharge into a silt trap and then into a dam (excavated earth tank). This combined structure should be fenced to exclude livestock.

The Department of Primary Industries and Regional Development recommends that roaded catchments are part of an integrated water and salinity management program.

The information in this page is only a guide – seek expert advice before …

Managing Subsurface Water In Wa, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

The Department of Primary Industries and Regional Development (DPIRD) recommends that subsurface water management is part of an integrated water and salinity program. An integrated program can help to lower water tables and alleviate problems with waterlogging, rising salinity, and infrastructure damage.

Excavated Tanks (Farm Dams), Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Guidelines and information for planning, legal requirements, design, construction and management of excavated tanks for water storage on farm.

Excavated tanks (farm dams) provide effective water storage wherever surface water run-off can be harvested for livestock, crop spraying, irrigation and domestic use on rural properties.

Excavated tanks for rainfall storage are common in the southern agricultural areas of WA.

Well-designed and constructed dams are farm assets, safe and require little maintenance.

Poor design and construction can lead to poor water harvesting and storage, excessive costs, downstream erosion and risks to property and people.

DPIRD recommends that excavated tanks should be …

Pumping Groundwater For Salinity Control In Wa, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

DPIRD recommends that groundwater pumping is used as part of an integrated water and salinity management program.

Groundwater pumping can lower local water tables, recover land for production and reduce the spread of local salinity or to protect high value assets at risk, such as townsites, roads or railway lines. Pump water can be discharged to safe disposal points or used on farm for desalination.

Improving Lambing Rates And Changing Turnoff Times To Reduce Greenhouse Gas Emissions, Mandy Curnow, Sud Kharel, Claire Macleay

Animal production and livestock research reports

Running a flock of sheep and raising lambs generates both direct (enteric fermentation) and indirect (lime, fertiliser, fuel, production of feed) greenhouse gas (GHG) emissions. There are ways to reduce emissions through sheep reproduction.

Greenhouse Gas Accounting For Western Australian Agriculture 2022, Johnny Machon, Mandy Curnow, Christophe D'Abbadie

Climate Science Published Reports

This report presents new modelling of the greenhouse gas emissions attributable to Western Australia’s agricultural industries and provides an overview of sequestration at the state level. The report improves and expands on the estimates from previous technical reports by the Department of Primary Industries and Regional Development (DPIRD), most notably Curnow et al. (2022). The report presents a new, much broader picture, capturing not only emissions from agricultural activities in Western Australia (WA), but also the emissions associated with the production of agricultural inputs and the sequestration that occurs on agriculturally managed lands. This broader picture of emissions aligns with …

An Artificial Intelligence-Generated Model Predicts 90-Day Survival In Alcohol-Associated Hepatitis: A Global Cohort Study, Winston Dunn, Yanming Li, Ashwani K Singal, Douglas A Simonetto, Luis A Díaz, Francisco Idalsoaga, Gustavo Ayares, Jorge Arnold, María Ayala-Valverde, Diego Perez, Jaime Gomez, Rodrigo Escarate, Eduardo Fuentes-López, Carolina Ramirez-Cadiz, Dalia Morales-Arraez, Wei Zhang, Steve Qian, Joseph C Ahn, Seth Buryska, Heer Mehta, Nicholas Dunn, Muhammad Waleed, Horia Stefanescu, Andreea Bumbu, Adelina Horhat, Bashar Attar, Rohit Agrawal, Joaquín Cabezas, Victor Echavaría, Berta Cuyàs, Maria Poca, German Soriano, Shiv K Sarin, Rakhi Maiwall, Prasun K Jalal, Fátima Higuera-De-La-Tijera, Anand V Kulkarni, P Nagaraja Rao, Patricia Guerra-Salazar, Lubomir Skladaný, Natália Kubánek, Veronica Prado, Ana Clemente-Sanchez, Diego Rincon, Tehseen Haider, Kristina R Chacko, Gustavo A Romero, Florencia D Pollarsky, Juan C Restrepo, Luis G Toro, Pamela Yaquich, Manuel Mendizabal, Maria L Garrido, Sebastián Marciano, Melisa Dirchwolf, Victor Vargas, César Jiménez, David Hudson, Guadalupe García-Tsao, Guillermo Ortiz, Juan G Abraldes, Patrick S Kamath, Marco Arrese, Vijay H Shah, Ramon Bataller, Juan Pablo Arab

Faculty, Staff and Students Publications

Background and aims: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model.

Approach and results: The Global AlcHep initiative, a retrospective study across 23 centers in 12 countries, enrolled patients with AH per National Institute for Alcohol Abuse and Alcoholism criteria. Centers were partitioned into derivation (11 centers, 860 patients) and validation cohorts (12 centers, 859 patients). Focusing on 30 and 90-day postadmission mortality, 3 artificial intelligence algorithms (Random Forest, Gradient Boosting Machines, and eXtreme Gradient Boosting) …

Dna Methylation Classes Of Stage Ii And Iii Primary Melanomas And Their Clinical And Prognostic Significance, Kathleen Conway, Sharon N Edmiston, Amanda Vondras, Allison Reiner, David L Corcoran, Ronglai Shen, Eloise A Parrish, Honglin Hao, Lan Lin, Jessica M Kenney, Gbemisola Ilelaboye, Caroline E Kostrzewa, Pei Fen Kuan, Klaus J Busam, Cecilia Lezcano, Tim K Lee, Eva Hernando, Paul B Googe, David W Ollila, Stergios Moschos, Ivan Gorlov, Christopher I Amos, Marc S Ernstoff, Anne E Cust, James S Wilmott, Richard A Scolyer, Graham J Mann, Ismael A Vergara, Jennifer Ko, Judy R Rees, Shaofeng Yan, Eduardo Nagore, Marcus Bosenberg, Bonnie Gould Rothberg, Iman Osman, Jeffrey E Lee, Yvonne Saenger, Paul Bogner, Cheryl L Thompson, Meg Gerstenblith, Sheri L Holmen, Pauline Funchain, Elise Brunsgaard, Natalie D Depcik-Smith, Li Luo, Tawny Boyce, Irene Orlow, Colin B Begg, Marianne Berwick, Nancy E Thomas

Faculty, Staff and Students Publications

Purpose: Patients with stage II and III cutaneous primary melanoma vary considerably in their risk of melanoma-related death. We explore the ability of methylation profiling to distinguish primary melanoma methylation classes and their associations with clinicopathologic characteristics and survival.

Materials and methods: InterMEL is a retrospective case-control study that assembled primary cutaneous melanomas from American Joint Committee on Cancer (AJCC) 8th edition stage II and III patients diagnosed between 1998 and 2015 in the United States and Australia. Cases are patients who died of melanoma within 5 years from original diagnosis. Controls survived longer than 5 years without evidence of …

Math From Every Angle, Jeff Ploegstra

Faculty Work Comprehensive List

"As an educator, I want students to understand, appreciate, and make decisions about reality in ways informed by quantities."

Posting about ­­­­­­­­the importance of mathematics in all areas of life from In All Things - an online hub that offers insight into maintaining a faithful and orthodox Reformed Christian worldview while fearlessly engaging in every aspect of contemporary life—until all is made new.

Math from Every Angle

Exploring The Human Side Of Math, Mike Janssen

Faculty Work Comprehensive List

"Abstract mathematics is an important way to better understand and marvel at the beauty and intricacy of God’s creation."

Posting about ­­­­­­­­experiences in math research from In All Things, an online hub that offers insight into maintaining and faithful and orthodox Reformed Christian worldview while fearlessly engaging in every aspect of contemporary life – until all is made new.

Exploring the Human Side of Math

A Liquid Crystal-Based Biomaterial Platform For Rapid Sensing Of Heat Stress Using Machine Learning, Prateek Verma, Elizabeth Adeogun, Elizabeth S. Greene, Sami Dridi, Ukash Nakarmi, Karthik Nayani

Poultry Science Faculty Publications and Presentations

Novel biomaterials that bridge the knowledge gap in coupling molecular/protein signatures of disease/stress with rapid readouts are a critical need of society. One such scenario is an imbalance between bodily heat production and heat dissipation which leads to heat stress in organisms. In addition to diminished animal well-being, heat stress is detrimental to the poultry industry as poultry entails fast growth and high yields, resulting in greater metabolic activity and higher body heat production. When stressed, cells overexpress heat shock proteins (such as HSP70, a well-established intracellular stress indicator) and may undergo changes in their mechanical properties. Liquid crystals (LCs, …

A Site-Wise Reliability Analysis Of The Abcd Diffusion Fractional Anisotropy And Cortical Thickness: Impact Of Scanner Platforms, Yezhi Pan, L Elliot Hong, Ashley Acheson, Paul M Thompson, Neda Jahanshad, Alyssa H Zhu, Jiaao Yu, Chixiang Chen, Tianzhou Ma, Ho-Ling Liu, Jelle Veraart, Els Fieremans, Nicole R Karcher, Peter Kochunov, Shuo Chen

2020-Current year OA Pubs

The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection and analysis. While the multi-site and multi-scanner study design enhances the robustness and generalizability of analysis results, it may also introduce nonbiological variances including scanner-related variations, subject motion, and deviations from protocols. ABCD imaging data were collected biennially within a period of ongoing maturation in cortical thickness and integrity of cerebral white matter. These changes can bias the classical test-retest methodologies, such as intraclass correlation …

Learning Problems Related To Stochastic Differential Equations, Jinpu Zhou

LSU Doctoral Dissertations

Stochastic differential equations (SDEs) are essential for modeling systems influenced by both deterministic dynamics and random fluctuations, with applications in a wide variety of disciplines. This thesis develops a Bayesian framework for nonparametric learning in SDEs, addressing key challenges in inference, particularly when dealing with complex systems and incomplete data. The thesis begins by establishing a theoretical foundation in optimization over Hilbert spaces, including a generalized representer theorem to address infinite-dimensional optimization problems encountered in nonparametric inference. Building on this, we introduce a Bayesian framework with shrinkage priors to learn drift functions from high-frequency data. Bayesian approach incorporates low-cost sparse …

Autonomous Coalition Formation For Energy Trading In Intelligent Grid Systems, Issiac Baca

Electrical and Computer Engineering ETDs

This paper introduces an interactive model and architectural framework for a smart grid system, emphasizing the prosumers dual roles as energy buyers and sellers within localized energy trading markets, i.e., coalitions. Initially, the utilities of both buyers and sellers are formulated to capture the benefits derived from their energy-related activities. Then, the paper presents the Approximate SMARTFORM (ASMARTFORM) mechanism, based on the principles of matching theory, to enhance the prosumers engagement in coalitions by addressing externalities influencing their decisions. To further improve the coalition formation process, the Accurate SMARTFORM (AccSMARTFORM) mechanism is formulated based on the theory of coalition games, …

The Digital Renaissance In Education: Adapting Generative Ai In Pre-Service Teacher And Provider Strategies, Jennifer J. Lesh, Jévaughn J. Lancaster

Faculty and Staff Publications & Presentations

Dr. Lesh's second presentation, "The Digital Renaissance in Education: Adapting Generative AI in Pre-Service Teacher and Provider Strategies," offered insights into the transformative role of generative AI in teacher education. Collaborating with Dr. JeVaughn Lancaster virtually, Lesh and Lancaster shared data from a recent study examining teachers' perceptions of AI in academic research. Findings underscored the potential for AI to enhance educational efficiency while also identifying ethical considerations that must be addressed. Lesh and Lancaster advocated for responsible AI training, stressing that generative AI should augment, not replace, educators' expertise and critical thinking.

Pushing The Boundaries Of Rare Disease Diagnostics With The Help Of The First Undiagnosed Hackathon, Angelica Maria Delgado-Vega, Helene Cederroth, Fulya Taylan, Katja Ekholm, Marlene Ek, Håkan Thonberg, Anders Jemt, Daniel Nilsson, Jesper Eisfeldt, Kristine Bilgrav Saether, Ida Höijer, Ozlem Akgun-Dogan, Yui Asano, Tahsin Stefan Barakat, Dominyka Batkovskyte, Gareth Baynam, Olaf Bodamer, Wanna Chetruengchai, Pádraic Corcoran, Madeline Couse, Daniel Danis, German Demidov, Eisuke Dohi, Mattias Erhardsson, Luis Fernandez-Luna, Toyofumi Fujiwara, Neha Garg, Roberto Giugliani, Claudia Gonzaga-Jauregui, Giedre Grigelioniene, Tudor Groza, Cecilia Gunnarsson, Anna Hammarsjö, Charles Kumi Hammond, Özden Hatirnaz Ng, Sirisha Hesketh, Dineshani Hettiarachchi, Maria Johansson Soller, Umn Ahmed Kirmani, Martin Kjellberg, Malin Kvarnung, Oleg Kvlividze, Kristina Lagerstedt-Robinson, Paul Lasko, Timo Lassmann, Lynette Y S Lau, Steven Laurie, Weng Khong Lim, Zhandong Liu, Mariya Lysenkova Wiklander, Prince Makay, Alassane Baneye Maiga, Carolina Maya-González, M Stephen Meyn, Ramprasad Neethiraj, Vincenzo Nigro, Felix Nordgren, Jessica Nordlund, Sara Orrsjö, Jesper Ottosson, Ugur Ozbek, Özkan Özdemir, Clyde Partin, David A Pearce, Raquel Peck, Annie Pedersen, Maria Pettersson, Monnat Pongpanich, Manuel Posada De La Paz, Arun Ramani, Juan Andres Romero, Vanessa I Romero, Richard Rosenquist, Aung Min Saw, Matthew Spencer, Eva-Lena Stattin, Chalurmpon Srichomthong, Isabel Tapia-Paez, Domenica Taruscio, Julie P Taylor, Tinatin Tkemaladze, Ian Tully, Zeynep Tümer, Wendy A G Van Zelst-Stams, Alain Verloes, Emma Västerviga, Sailan Wang, Rachel Yang, Shinya Yamamoto, Vicente A Yépez, Qing Zhang, Vorasuk Shotelersuk, Samuel Agyei Wiafe, Yasemin Alanay, Lorenzo D Botto, Salman Kirmani, Aimé Lumaka, Elizabeth Emma Palmer, Ratna Dua Puri, Valtteri Wirta, Anna Lindstrand, Orion J Buske, Mikk Cederroth, Ann Nordgren

Duncan NRI Faculty and Staff Publications

The first-ever Undiagnosed Hackathon was a groundbreaking event held by the Wilhelm Foundation, the Karolinska Undiagnosed Disease Program, and PhenoTips in collaboration with UDNI to solve medical mysteries and advance diagnostics for undiagnosed rare diseases. Nearly 100 healthcare professionals and researchers from 28 countries participated, working intensively for 48 hours to diagnose 10 families with undiagnosed rare diseases. This innovative approach to precision diagnostics highlighted the power of international, multidisciplinary collaboration and patient partnership, yielding promising results for patients seeking answers and benefiting the entire rare diseases community.

Framework Utilizing Ai/Ml To Ensure Guaranteed Reliability In 5g Standalone (Sa) Networks, Sujin Anagani, Sudeep Pandey, Solomon Ayyankulankara Kunjan, Souvik Mondal, Ashok M Bhat, Vijay Katamreddy

Defensive Publications Series

Service provider mobility involves large-scale deployments that serve millions of subscribers within a cluster of network functions (NFs). Even minor impairments in a deployed cluster can significantly impact a substantial number of subscribers. To address this issue, an advanced AI/ML-based failure prediction framework is proposed herein that is specifically tailored for mobility/telecom environments. This framework not only predicts impairments before they occur but also provides recommendations for actions that peer nodes can perform to prevent disruptions to existing subscribers from these potential impairments. With this framework, ML-based predictive signature is generated by NF source and shared with central entity, such …

A Unique Case Of Cutaneous Melanoma: Case Report And Literature Review, Iulia Maria Teodora Leulescu, Grigore Bălan, Claudia Ioana Dogaru, Maria Moga, Emil Catalin Popa, Irina Popescu, Mircea Tampa, Simona Roxana Georgescu

Journal of Mind and Medical Sciences

Introduction. According to the European Cancer Information System, melanoma is the sixth most diagnosed cancer in Europe (following breast, colorectal, prostate, lung, and bladder cancer) and ranks among the top 20 most common causes of cancer-related death. The diagnosis of melanoma can be a clinical challenge due to the variety of signs and symptoms, ranging from small, asymptomatic lesions with slow progression to large, painful tumors with rapid growth. In this paper, we will report an exceptional case of cutaneous melanoma with an atypical presentation in a patient with no personal or family history of skin cancer. Case presentation. We …

Gastrointestinal Stromal Tumors: A Focus On The Impact Of Interstitial Cells Of Cajal In Disease Development, Petru Radu, Mihai Zurzu, Anca Tigora, Vlad Paic, Mircea Bratucu, Dragos Garofil, Valeriu Surlin, Stefan Patrascu, Virgiliu Prunoiu, Ionut Simion Coman, Valentin Georgescu, Razvan Daniel Chivu, Florian Popa, Victor Strambu, Raluca Gabriela Ioan

Journal of Mind and Medical Sciences

Introduction. Interstitial Cells of Cajal (ICCs) play a critical role in the regulation of gastrointestinal motility and have been implicated in various functional gastrointestinal disorders. Recent research indicates a possible association between ICCs and the tumor risk of Gastrointestinal Stromal Tumors (GISTs). This research aims to examine the clinical, histopathological, and biomolecular characteristics of ICCs and their relevance in assessing GIST risk. Materials and Methods. This study examined fourteen GIST patients who underwent surgical intervention at the Surgery Department of Carol Davila Nephrology Hospital in Bucharest. Parameters including age, gender, tumor location/ dimensions were scrutinized. Immunohistochemistry employing markers CD117, DOG-1, …

Artificial Intelligence And Liver Transplantation; Literature Review, Maria Serban, Irina Balescu, Sorin Petrea, Bogdan Gaspar, Lucian Pop, Valentin Varlas, Marilena Stoian, Camelia Diaconu, Cristian Balalau, Nicolae Bacalbasa

Journal of Mind and Medical Sciences

Liver transplantation is the last life-saving solution for patients with end stage liver disease. The discrepancy between waiting list and available organs has led to the appearance of extended donation criteria and the development of several scores (Child-Pugh score, MELD score, DRI score, SOFT score), in order to find the most suitable donor-recipient match. But none of these scores can predict survival after transplantation. Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the liver and comes in this aid with its various methods (random forest, artificial neural networks, decision tree, Bayesian networks, and …

Analyzing The Impact Of Service Quality Of Food And Beverages Outlets On Tourists’ Satisfaction In Goa, India, Ajita Morajker Ms., Prof.(Dr.)Filipe Rodrigues E Melo

Journal of Tourism Insights

Goa is famous not only for its beaches and places of historic monuments but also for variety and delicious food offered, which make Goa famous between food lovers. Goan food includes variety of options like Indian, Continental, Mexican, Chinese and lot more. Identification of dimensions of service quality of food and beverages and their impact on tourist satisfaction is pivotal for the stakeholders in improving their quality in future, which will lead to tourist satisfaction. The study investigates the impact of the dimensions of service quality of food and beverages on the tourist satisfaction in food and beverages outlets. A …