Repozitoriul Instituțional al Universității de Stat din Moldova (RI USM)

Repozitoriul Instituțional al Universității de Stat din Moldova (RI USM)

Institutional Repository of Moldova State University (IR MSU)

  • Repozitoriul Instituțional al Universității de Stat din Moldova reprezintă arhiva digitală cu acces deschis a rezultatelor cercetărilor științifice și științifico-didactice efectuate în cadrul universității. Conținutul arhivei este multidisciplinar și include lucrări din domeniile științelor exacte și socio-umanistice.
  • The Institutional Repository of the State University of Moldova is an open access digital archive of the results of scientific and scientific-didactic research carried out within the university. The archive's content is multidisciplinary and includes works from the fields of exact sciences, social sciences and humanities.
     

    Recent Submissions

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    The Role of Artificial Intelligence in Inclusive Education [Articol]
    (2024) Gheorghita, Irina
    Inclusion is a process that can practically infinitely increase the level of learning and participation for all students. In fact, inclusion occurs simultaneously with the increase in the degree of participation. An inclusive school is a school in motion [1]. At the level of intention, the Government has demonstrated that it is ready to accept children with special educational needs in schools in the community so that the children can return to their families, but at the level of legislative regulation, much remains to be done. The teachers do not know the methodology of working with these children, they do not know how to grade them, what kind of tests to apply at the end of the school year and if they do, is it legal? Many unanswered questions at the moment, but we hope that in the near future we will find answers to many of them. One of the methods of helping teachers and parents in the education and development of children would be Artificial Intelligence, which would allow working with each child individually
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    Modificările statutului hormonal al glandei tiroide în diabetul experimental pe fondalul administrării biopreparatului imunomodulator PHASC-5 [Articol]
    (2021) Bacalov, Iurie; Crivoi, Aurelia; Chiriţa, Elena; Druţa, Adriana
    Biopreparatul imunomodulator PHASC-5 acționează statutul funcţional al glandei tiroide şi al pancreasului endocrin stabilind o dinamică a sintezei şi secreţiei hormonilor pancreatici şi tiroidieni. Astfel, biopreparatul posedă proprietăţi ce stimulează activitatea glandelor endocrine prin tendinţa de normalizare a hormonilor în sânge, având astfel un rol important în stoparea apariţiei complicaţiilor tiroidiene în diabetul experimental.
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    Some Considerations on Medical Information Systems [Articol]
    (2024) Gaindric, Constantin
    The paper examines the practice of implementing medical IT systems, gaps in application, and some causes. Some considerations are presented on the IT system for the management of the health system, which would integrate all aspects of the operation according to the attributions of the actors in the field.
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    Neuroevolution and NEAT at Evolving Neurocontrollers for Obstacle Avoidance for a Robot Arm [Articol]
    (2024) Darii, Andrei; Nistor, Marian Sorin; Pickl, Stefan
    This paper presents a comparative analysis of Neuroevolution and NEAT algorithms for evolving neural controllers capable of evading obstacles. The fitness criterion is the number of time steps a robot is able to avoid a moving obstacle that increases in speed over time. The experiments simulate the WLkata Mirobot, a small 6-joint robot, focusing on obstacle evasion using forward kinematics. The results show the average number of generations required by each algorithm to achieve a certain fitness and analyze the average fitness per generation. This comparison offers insights into the effectiveness and efficiency of each algorithm in optimising robotic obstacle avoidance.
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    Emerging Trends and Computational Approaches in the Application of XR Technologies in Education [Articol]
    (2024) Constantinescu, George-Gabriel
    In the evolving landscape of education, the integration of Extended Reality (XR) technologies: Virtual Reality (VR) and Augmented Reality (AR) is reshaping how students engage with learning content. This paper examines emerging trends and computational approaches in applying XR technologies to education. By leveraging AI-driven algorithms and real-time data processing, XR platforms create personalized, immersive learning environments that enhance student engagement and outcomes. Our findings demonstrate how these technologies are revolutionizing traditional teaching methods, offering new opportunities for interactive and adaptive learning experiences. The study highlights current applications and future potential, showcasing XR’s role in advancing innovative and accessible education.