Stakeholder perspectives on integrating Ayurveda and Indian Indigenous Knowledge Systems into higher education: An exploratory study by Panchali Moitra, Jagmeet Madan

Get full text

A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The neural network was trained using the Python programming language and deep learning frameworks. The result is a classifier that gives an accuracy score of 83% on a test dataset, which is a good result for a small dataset and data with conflicting labels. …”
Get full text

Statistical Assessment of The Development of Digital Skills of The Employed Population in The Russian Federation by P. E. Prokhorov

“…To achieve this goal, international and domestic experience in building summary indicators of competencies necessary for the operation of computer equipment and work with standard and specialized programs and applications was studied. A comparative analysis of such approaches has been carried out. …”
Get full text

An analytical approach to modeling conjunctival viral disease using fuzzy logic and time-delay dynamics by Muhammad Tashfeen, Hothefa Shaker Jassim, Fazal Dayan, Muhammad Azizur Rehman, Alwahab Dhulfiqar Zoltán, Husam A. Neamah

Get full text

Four-dimensional green transportation problem considering multiple objectives and product blending in Fermatean fuzzy environment by Monika Bisht, Ali Ebrahimnejad

“…Further, we obtain the Pareto-optimal solution of this model by four methods, namely, fuzzy TOPSIS, $$\epsilon $$ ϵ -constraint method, augmented Tchebycheff method (ATM) and weighted Tchebycheff metrics programming (WTMP) method. We describe a real-world industrial transportation problem (TP) and compare the solutions obtained using different techniques in order to show the value and applicability of the suggested model. …”
Get full text

A regression based approach to phylogenetic reconstruction from multi-sample bulk DNA sequencing of tumors. by Henri Schmidt, Benjamin J Raphael

“…This algorithm has both asymptotic and empirical improvements over linear programming (LP) approaches to the problem. Using our algorithm for this regression sub-problem, we develop fastBE, a simple method for phylogenetic inference from multi-sample bulk DNA sequencing data. …”
Get full text

DISTANCE LEARNING WITHIN THE FRAME OF MODERN EDUCATIONAL SYSTEMS: PSYCHOLOGICAL CONTEXT by Prakhova Svitlana A., Datsenko Oksana A, Semenov Kostiantyn A.

“…Among these characteristics there are adaptability and flexibility to the needs and capabilities of students; modularity of curriculum construction; the specific role of the teachertutor; the individually oriented forms of control of students’ knowledge; the usage of communicative and high-tech methods of teacher-student interaction; the usage of specialized programs and technical tools of teaching, etc. Distance learning is a prioritized system for working with students, because the traditional system of providing educational services often lags behind the real needs and demands of modern students, who set a high bar for higher education institutions, where they study. …”
Get full text

Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…After analyzing the predictive ability of the developed models, a software module was created in the Microsoft Visual C # 2015 programming environment that allows determining the possibility of hemorrhagic syndrome in patients with a combination of ACS and AF using classification trees and neural networks.Сonclusion. …”
Get full text

Investigating the effects of pcDNA3 polybia-MP1 on the apoptosis induction in lung cancer cell line by Neda Taki, Abbas Doosti

“…The expression levels of lncRNAs and apoptotic genes were evaluated using real-time PCR, with a significance threshold of P < 0.05. …”
Get full text

Precision in practice: exploring the impact of ai and machine learning on ultrasound guided regional anaesthesia by Noor Ul Huda Bhatti, Syed Ghazi Ali Kirmani, Maryam Butt

“…It is used to conduct predictive tasks without programming instructions by creating algorithms. Extensive research has been conducted to evaluate the influence of machine learning on innovative anaesthesia methods. …”
Get full text

Loading Patterns of the Posterior Cruciate Ligament in the Healthy Knee: A Systematic Review. by S H Hosseini Nasab, Renate List, Katja Oberhofer, Sandro F Fucentese, Jess G Snedeker, William R Taylor

“…The strain patterns obtained for virtual fibres that connect the origin and insertion of the bundles in a straight line show similar trends to those of the real bundles but with different magnitudes.<h4>Conclusion</h4>This review represents what is now the best available understanding of the biomechanics of the PCL, and may help to improve programs for injury prevention, diagnosis methods as well as reconstruction and rehabilitation techniques.…”
Get full text

A Virtual Simulator to Improve Weight-Related Communication Skills for Health Care Professionals: Mixed Methods Pre-Post Pilot Feasibility Study by Fiona Quigley, Leona Ryan, Raymond Bond, Toni McAloon, Huiru Zheng, Anne Moorhead

“…The intervention comprised educational videos and 2 simulated patient scenarios with real-time verbal interaction. Pre- and posttraining self-assessments of communication skills and conversation length were collected. …”
Get full text

Participative governance quality over marine spaces: challenges for estuarine socioecological resilience at the Paranaguá Bay Zone by Daniel Hauer Queiroz Telles, Lígia Carolina Alcântara Pinotti

“…On the one hand, the intensification of real estate pressures in a low demographic region is creating a wave of value conversion regarding the trends of the coastal gentrification phenomenon, notwithstanding the lower degree of intensity when compared to other Brazilian estuaries. …”
Get full text

Optimising test intervals for individuals with type 2 diabetes: A machine learning approach. by Sasja Maria Pedersen, Nicolai Damslund, Trine Kjær, Kim Rose Olsen

“…<h4>Background</h4>Chronic disease monitoring programs often adopt a one-size-fits-all approach that does not consider variation in need, potentially leading to excessive or insufficient support for patients at different risk levels. …”
Get full text

Nonlinear mixed models and related approaches in infectious disease modeling: A systematic and critical review by Olaiya Mathilde Adéoti, Schadrac Agbla, Aliou Diop, Romain Glèlè Kakaï

“…This study provides an overview of their current use and offers a solid foundation for developing guidelines that may help improve their implementation in real-world situations. Relevant scientific databases in the Research4life Access initiative programs were used to search for papers dealing with key aspects of NLMMs in infectious disease modeling (IDM). …”
Get full text

A METHOD OF COMPUTER SIMULATION MODELING OF USER AND BOT BEHAVIOR IN A RECOMMENDATION SYSTEM USING THE GRAPH DATABASE NEO4J by Yelyzaveta Meleshko, Mykola Yakymenko, Viktor Bosko

“…The methods used are: graph theory, theory of complex networks, statistics theory, probability theory, methods of object-oriented programming and methods of working with graph databases. …”
Get full text

Participative governance quality over marine spaces: challenges for estuarine socioecological resilience at the Paranaguá Bay Zone by Daniel Hauer Queiroz Telles, Lígia Carolina Alcântara Pinotti

“…On the one hand, the intensification of real estate pressures in a low demographic region is creating a wave of value conversion regarding the trends of the coastal gentrification phenomenon, notwithstanding the lower degree of intensity when compared to other Brazilian estuaries. …”
Get full text

A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The neural network was trained using the Python programming language and deep learning frameworks. The result is a classifier that gives an accuracy score of 83% on a test dataset, which is a good result for a small dataset and data with conflicting labels. …”
Get full text

AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks by Hong Huang, Yang Yang, Yunfei Wang

“…Previous research on both digital-domain and physical-domain attacks has lacked consideration of real-world attack scenarios: Digital-domain attacks with good stealthiness often fail to achieve physical implementation, while wearable-based physical-domain attacks typically appear unnatural and cannot evade human visual inspection. …”
Get full text

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury. by Tianbao Feng, Jiating Hu, Mi Xie, Guodong Shi, Qi Wang, Jingyuan Yao, Xiaoqin Liu

“…PANoptosis is an emerging concept in programmed cell death that combines three key processes: pyroptosis, apoptosis, and necroptosis. …”
Get full text