Logic Model Research Articles

A Scalable and Extensible Logical Data Model of Electronic Health Record Audit Logs for Temporal Data Mining (RNteract): Model Conceptualization and Formulation.

Increased workload, including workload related to electronic health record (EHR) documentation, is reported as a main contributor to nurse burnout and adversely affects patient safety and nurse satisfaction. Traditional methods for workload analysis are either administrative measures (such as the nurse-patient ratio) that do not represent actual nursing care or are subjective and limited to snapshots of care (eg, time-motion studies). Observing care and testing workflow changes in real time can be obstructive to clinical care. An examination of EHR interactions using EHR audit logs could provide a scalable, unobtrusive way to quantify the nursing workload, at least to the extent that nursing work is represented in EHR documentation. EHR audit logs are extremely complex; however, simple analytical methods cannot discover complex temporal patterns, requiring use of state-of-the-art temporal data-mining approaches. To effectively use these approaches, it is necessary to structure the raw audit logs into a consistent and scalable logical data model that can be consumed by machine learning (ML) algorithms. We aimed to conceptualize a logical data model for nurse-EHR interactions that would support the future development of temporal ML models based on EHR audit log data. We conducted a preliminary review of EHR audit logs to understand the types of nursing-specific data captured. Using concepts derived from the literature and our previous experience studying temporal patterns in biomedical data, we formulated a logical data model that can describe nurse-EHR interactions, the nurse-intrinsic and situational characteristics that may influence those interactions, and outcomes of relevance to the nursing workload in a scalable and extensible manner. We describe the data structure and concepts from EHR audit log data associated with nursing workload as a logical data model named RNteract. We conceptually demonstrate how using this logical data model could support temporal unsupervised ML and state-of-the-art artificial intelligence (AI) methods for predictive modeling. The RNteract logical data model appears capable of supporting a variety of AI-based systems and should be generalizable to any type of EHR system or health care setting. Quantitatively identifying and analyzing temporal patterns of nurse-EHR interactions is foundational for developing interventions that support the nursing documentation workload and address nurse burnout.

Evaluating the Integration of Islamic Values in Primary Education: A Logic Model Approach

This study examined the acquisition of Islamic values in an Islamic primary school using a logic model-based evaluative approach to assess input, output, and outcome dimensions. The research aimed to evaluate the effectiveness of educational practices in promoting Islamic values among students. Data were gathered through interviews, observation, and documentation, and were analyzed through iterative stages of collection, reduction, display, and conclusion. Findings indicate that the structural input for Islamic values learning involves coordinated efforts among various school departments. The school's cultural climate excels in academic, communal, security, and institutional areas. The output is reflected in diverse activities such as morning murâja’ah sessions, Quran reading and writing guidance using the Ummi method, congregational prayers, and rituals like Clean Friday and Blessed Friday. These activities lead to outcomes that foster individual piety, integrity, discipline, honesty, responsibility, creativity, and social consciousness among students. The study underscores the importance of instilling Islamic values from an early age, highlighting its potential to foster lifelong adherence to these principles. In conclusion, the research affirms the efficacy of these educational practices in transmitting Islamic values, emphasizing the pivotal role of primary education in cultivating a deep-rooted commitment to these values for the future.

Formal Logical Modeling of Impersonal Sentences in the English Language

Introduction. The main feature of a sentence is the predicative connection. The two main units – substantive and verbal – are represented in the sentence either through separate words – subject and predicate – or synthetically in one of the parts of the sentence. The question whether subject and predicate play equal part in a sentence remains to be clarified since there are strong arguments in support of every position. The case of impersonal constructions is especially intriguing. So, in English one can find impersonal constructions, which, at first glance, lack a subject.Methodology and sources. The present study aims to provide formal logical modeling of English independent clause with impersonal constructions based on active and passive verb, by means of the binomiality idea. In cases when a sentence begins not from the main couple, some of the passive constructions express the subject partially or don’t express it at all. The binomiality idea claims the existence of an implicit subject, as well as semi-implicit subject that includes a desemantised adverb there, thus, it explains these cases in the fullest way possible. Results and discussion. The formal logical modeling allows concluding that grammar-wise an impersonal construction is a personal one. A predicate with an active verb is accompanied by an explicit subject. In case a sentence starts from the main couple, a predicate with a passive verb can be accompanied by an explicit and (less often) semi-implicit subject, for the membrane of a passive verbal semifinitive is less relief, than the membrane of an active verbal semifinitive and can be subject to pressure from the strong space specifier. If a sentence does not begin with the main couple, then an implicit subject, as well as semiimplicit and explicit ones are possible. In declarative sentences, the implicity of a subject is provided by a strengthening element, whilst in question sentences it is done by a questioning one. Therefore, the weak space specifier cannot be used in declarative sentences, whilst in questioning sentences the strong space specifier is substituted by the weak one.Conclusion. In cases with desemantised pronoun it or desemantised adverb there the term “impersonal construction” is only reasonable in a semantic sense, but not in a grammar one. Grammar-wise the singular third person is set in all cases – through an explicit or implicit substantive semifinitive and a space specifier. At the same time a semi-implicit subject can be seen quite rarely, whilst an implicit one – very rarely. Ellipsis of subject in English impersonal constructions is impossible.

Community health worker perspectives: examining current responsibilities and strategies for success

BackgroundCommunity health worker (CHW) interventions have demonstrated positive impacts globally, with the COVID-19 pandemic further highlighting the potential of CHWs at the frontline to support prevention, outreach, and healthcare delivery. As the workforce expands, understanding the work and capabilities of CHWs is key to design successful interventions. This study examines the perspectives of experienced CHWs in Chicago about their current work and strategies for success.MethodsAs part of a community-academic partnership in Chicago, semi-structured interviews were completed with individuals who held positions aligned with CHW. Interviews were conducted between January and April 2022. Questions focused on participants’ work and factors contributing to their effectiveness to gain insights into workforce strategies for success to be applied in healthcare and community settings. De-identified transcripts were analyzed using inductive reasoning with codes organized into themes and subthemes under two domains identified a priori. The themes informed a logic model focused on the early stages to support the success of CHWs in their role.ResultsFourteen individuals participated in the study. The two predetermined domains in this study were: current work of CHWs and strategies for CHWs to be successful.Five themes were identified about CHWs’ current work: providing services, building alliances with clients, establishing and maintaining collaborations, collecting data, and experiencing challenges in role. From their perspectives, all these responsibilities enhance client care and support workforce sustainability efforts.Five themes emerged about strategies for the success of CHWs: background of CHWs, champions to support work of CHWs, materials to perform work of CHWs, preparation for CHW role, and characteristics of CHWs. Participants described key traits CHWs should possess to be hired, individuals who can champion and advocate for their work, and specific materials needed to fulfill responsibilities. They reported that training and familiarity with the community were integral to developing and refining the qualities and skills necessary to be effective in their role.ConclusionCHWs play an increasingly important role in enhancing healthcare delivery and improving health outcomes. This study offers a framework for policymakers, communities, and organizations to utilize for preparing CHWs to succeed in their roles.

Appraising water resources for irrigation and spatial analysis based on fuzzy logic model in the tribal-prone areas of Bangladesh.

The lack of quality water resources for irrigation is one of the main threats for sustainable farming. This pioneering study focused on finding the best area for farming by looking at irrigation water quality and analyzing its location using a fuzzy logic model on a Geographic Information System platform. In the tribal-prone areas of Khagrachhari Sadar Upazila, Bangladesh, 28 surface water and 39 groundwater samples were taken from shallow tube wells, rivers, canals, ponds, lakes, and waterfalls. The samples were then analyzed for irrigation water quality parameters like electrical conductivity (EC), total dissolved solids (TDS), sodium adsorption ratio (SAR), soluble sodium percentage (SSP), residual sodium bicarbonate (RSBC), magnesium hazard ratio (MHR), Kelley's ratio (KR), and permeability index (PI). Fuzzy Irrigation Water Quality Index (FIWQI) was employed to determine the irrigation suitability of water resources. Spatial maps for parameters like EC, KR, MH, Na%, PI, SAR, and RSBC were developed using fuzzy membership values for groundwater and surface water. The FIWQI results indicate that 100% of the groundwater and 75% of the surface water samples range in the categories of excellent to good for irrigation uses. A new irrigation suitability map constructed by overlaying all parameters showed that surface water (75%) and some groundwater (100%) in the northern and southwestern portions are fit for agriculture. The western and central parts are unfit for irrigation due to higher bicarbonate and magnesium contents. The Piper and Gibbs diagram also indicated that the water in the study area is magnesium-bicarbonate type and the primary mechanism of water chemistry is controlled by the weathering of rocks, respectively. This research pinpoints the irrigation spatial pattern for regional water resource practices, identifies novel suitable areas, and improves sustainable agricultural uses in tribal-prone areas.

Bridging the Gap: An Epistemic Logical Model for Analysing Students’ Argumentation and Proof in Mathematics Education Research

Bridging the Gap: An Epistemic Logical Model for Analysing Students’ Argumentation and Proof in Mathematics Education Research

Fuzzy Rule Based System of Optimal Pavement Maintenance and Rehabilitation Strategies for Yangon-Mandalay Expressway

Purpose: Systematic pavement management plays a vital role in the better Road Asset Management system. The lifespan of pavement can be preserved and prolonged by adequate maintenance measures in proper time. By early detection and repair of defects at initial stages with predictive maintenance reduces the rapid deterioration of the pavement. Moreover, inaccuracy in pavement deterioration prediction leads to an improper maintenance with wastage of time, cost and labor strength. To overcome all of these obstacles, this paper attempts an approach on optimal pavement maintenance strategy by means of fuzzy rule-based system. Materials and Methods: In this research, four pavement indicators of PCI, IRI, PSR and PSI have been taken into account as antecedents and five different types of pavement maintenance as consequents. In this research, ASTM D-6433, Road Lab Pro software, AASHTO guidelines and Fuzzy Logic (Mamdani) model have been used to evaluate the current pavement condition and optimal pavement maintenance strategies. Findings: According to research area, 130 total pavement sample units were undertaken to study for the mean pavement condition of PCI value 54.93 (poor), IRI 7.01 (fair), PSR 3.33 (fair) and PSI 3.35 (fair). Due to 13 years-old life span of traffic volume, temperature and other external factors, this expressway is suffering from potholes, bleeding, longitudinal and transverse cracking, weathering, joint reflection cracking for Asphalt Concrete (AC) overlay and linear cracking, joint seal failure, scaling, faulting, depression, lane/shoulder drop off for existing concrete pavement. According to the fuzzy logic model results, 42 numbers of fuzzy If-Then maintenance rules were verified as the most relevant pavement maintenance and rehabilitation strategies for Yangon-Mandalay Expressway. Implications to Theory, Practice and Policy: This research provide implications to the study and contributions to theory, practice and policy. This research paper insights into effective infrastructure maintenance and investment, emphasizing the role of advanced computational techniques in transportation economics. The key advantage of this research paper is to be effective, supportive, easy and accessible decision-making tool for transportation and pavement engineers, expressway planners and highways department authorities especially from developing countries.

Development of an outcome indicator framework for a universal health visiting programme using routinely collected data

BackgroundUniversal health visiting has been a cornerstone of preventative healthcare for children in the United Kingdom (UK) for over 100 years. In 2016, Scotland introduced a new Universal Health Visiting Pathway (UHVP), involving a greater number of contacts with a particular emphasis on the first year, visits within the home setting, and rigorous developmental assessment conducted by a qualified Health Visitor. To evaluate the UHVP, an outcome indicator framework was developed using routine administrative data. This paper sets out the development of these indicators.MethodsA logic model was produced with stakeholders to define the group of outcomes, before further refining and aligning of the measures through discussions with stakeholders and inspection of data. Power calculations were carried out and initial data described for the chosen indicators.ResultsEighteen indicators were selected across eight outcome areas: parental smoking, breastfeeding, immunisations, dental health, developmental concerns, obesity, accidents and injuries, and child protection interventions. Data quality was mixed. Coverage of reviews was high; over 90% of children received key reviews. Individual item completion was more variable: 92.2% had breastfeeding data at 6–8 weeks, whilst 63.2% had BMI recorded at 27–30 months. Prevalence also varied greatly, from 1.3% of children’s names being on the Child Protection register for over six months by age three, to 93.6% having received all immunisations by age two.ConclusionsHome visiting services play a key role in ensuring children and families have the right support to enable the best start in life. As these programmes evolve, it is crucial to understand whether changes lead to improvements in child outcomes. This paper describes a set of indicators using routinely-collected data, lessening additional burden on participants, and reducing response bias which may be apparent in other forms of evaluation. Further research is needed to explore the transferability of this indicator framework to other settings.

Using systems mapping within the process evaluation of a randomised controlled trial of the ACE active ageing programme in England and Wales

BackgroundSystem mapping has mainly been used to develop theories and understanding of complex systems; to hypothesise how an intervention might work in a complex system or to inform intervention development....

Using Action Research and Logic Modeling to Promote Young People's Engagement, Resilience and Wellbeing in Middle Schooling

An approach to action research of innovative and disruptive socioecological understandings of young people's wellbeing, resilience, and engagement in middle school was piloted with a coalition of school principals, lead teachers, police, and community development professionals by an RMIT research team. This coalition was built around the Hume-Whittlesea Local Learning and Employment Network and the Whittlesea Youth Commitment Committee in outer northern Melbourne, Australia. Action research facilitated the collaborative design of interventions for reducing middle school disengagement. These were then expressed in logic model terms to guide implementation and subsequent evaluation. Logic models clarified how local innovations, situated in an authorizing environment, can develop promising practices that contribute to system reform. Our project involved characterizing ecologies of young people's engagement, resilience, and wellbeing as part of a place-based strategy.

2F-MASK-VSS: Two-factor mutual authentication and session key agreement scheme for video surveillance system

The trend for deploying Video Surveillance Systems (VSSs) in public places has become common practice to maintain effective law and order in modern civilization. Further, data access control and the proper management of surveillance data with valid users are desirable for the safety and security of the communities. This paper aims to develop practical solutions to protect VSSs against evolving threats and challenges. This paper proposes a Two-Factor Mutual Authentication and Session Key Agreement usable in VSS (2F-MASK-VSS) environments for real-time data storage and access. In 2F-MASK-VSS, lightweight cryptographic tools, viz. hash function and symmetric key encryption, are used to maintain the desirable security features. In 2F-MASK-VSS, a surveillance camera captures real-time data and sends them securely to a central server for storage through the established session key agreement among valid concerns. Moreover, 2F-MASK-VSS can protect access control among valid users. The security strength of 2F-MASK-VSS has been proven by formal and informal analysis. The BAN logic model, AVISPA and Scyther tools validate the attack-resilience of 2F-MASK-VSS. Furthermore, the security analysis in the random oracle model shows that 2F-MASK-VSS is provably secure. In addition, 2F-MASK-VSS has been implemented using the Raspberry PI testbed to demonstrate its practical implementation.

Integrating socio-cognitive mindfulness and coaching psychology: An intervention development study

Introduction:The literature suggests that socio-cognitive mindfulness (Langer, 1989) is a suitable theory from which to develop a wellbeing coaching intervention due to its focus on environmental mastery and its links to increased wellbeing outcomes. The purpose of this study is to outline the process and the emerging findings of developing a coaching intervention based on the evidence-based strategies of socio-cognitive mindfulness.Methods:The Medical Research Council’s updated framework for developing complex interventions has been used to guide the research methods chosen to design this coaching intervention (Skivington et al., 2021). The accumulated findings from three previous studies were triangulated to refine the programme theory of the intervention. The lead researcher incorporated her practice reflections as a coaching psychologist into the programme theory to operationalise the logic model into a prototype of the intervention.Findings:A logic model was produced to articulate the findings of the method triangulation and the resulting programme theory. The mechanisms of the model include the establishment of a safe and personalised coaching environment where key coaching processes help to facilitate the activation of socio-cognitive mindfulness. By repeatedly stimulating and integrating states of socio-cognitive mindfulness into daily routines over an extended period, participants can potentially develop trait socio-cognitive mindfulness and increase the chances of sustaining meaningful wellbeing outcomes.Conclusion:As the logic model is still hypothetical at this point, the intervention prototype should now be feasibility tested prior to a full study to address some of the outstanding key uncertainties, such as who the intervention appeals to, whether participants adhere to the programme as intended and which wellbeing measures are most likely to improve.

Realist process evaluation of occupational performance coaching: protocol

IntroductionA cluster randomised controlled trial, the Meaning, Agency and Nurturing Autonomy (MANA) study, is underway comparing the effects of occupational performance coaching (OPC) and usual care on the social participation,...

A Review of the Advances in Artificial Intelligence in Transportation System Development

In modern times, the rapid expansion of urban populations has intensified the urgency to optimize transportation systems, which has become an alarming issue in the face of urbanization and traffic congestion. This paper reviews the latest applications of Artificial Intelligence (AI) in the transport sector. It explores various AI methodologies, including Artificial Neural Networks (ANN), Genetic Algorithms (GA), Simulated Annealing (SA), Ant Colony Optimizer (ACO), Bee Colony Optimization (BCO), disruptive urban mobility, Fuzzy Logic Models (FLM), automated incident detection systems, and drones, which improve dynamic traffic management and route optimization. The study reveals that integrating these AI techniques with real-time data analytics improves traffic flow, automated incident management, and overall transportation efficiency. The results demonstrate that AI-driven systems, such as drones equipped with advanced sensors and AI algorithms, are increasingly capable of autonomous navigation, real-time monitoring, and predictive traffic management. These advancements in technologies, such as electric Vertical Take-off and Landing (eVTOL) aircraft, Hyperloop Transportation Technologies (HTT), Mobility-as-a-Service (MaaS) and autonomous delivery robots, contribute to smarter urban mobility solutions. However, it is important to focus on refining AI models for better performance, addressing challenges such as computational complexity and privacy concerns, and continuing to innovate in AI to improve the economic efficiency and reliability of transportation systems. Furthermore, to promote sustainability development in this sector, ethical considerations such as the protection of user information and the integration of the concepts of informed consent and human autonomy with community engagement programs should also be considered.

Implementing absolute cardiovascular disease risk assessment into pathology collection services.

Pathology services represent an ideal setting to integrate absolute cardiovascular disease (CVD) risk estimation when patients attend for routine cholesterol testing. This study aimed to explore the process of implementing CVD risk estimation into point-of-care service delivery by pathology staff to inform future implementation and sustainability. A new service for CVD risk estimation via a self-directed screening station was implemented into 14 pathology service sites across Tasmania, Australia. Before implementation, observations at pathology services (n = 26) and semi-structured interviews were undertaken with 26 pathology staff (88% female, 77% aged 41-60 years) to identify factors that could impact implementation of the service. The process of implementation was then evaluated using participant observations and clinical trial recruitment data. Transcripts and field notes were analysed thematically according to the Medical Research Council Framework and used to develop a programme logic model to understand how the service could be adapted to be successfully integrated into routine workflow at pathology services. Eight key themes were identified during the pre-implementation phase as important factors that could impact upon integration of CVD risk estimation into pathology services. Themes related to factors within the organisation, including available resources, logistics and workflow, as well as having sufficient time to complete the intervention. Additional factors related to the individual motivations of staff, collaborative leadership and patient characteristics. Success of implementation varied among sites, requiring the trialling of different strategies to support uptake of the service and patient recruitment. Implementing CVD risk estimation into point-of-care pathology services required an understanding of the core implementation components specific to each context, and for implementation strategies to be targeted to the individual and organisational contexts. The generated programme logic model may be useful in guiding future implementation endeavours within these services and aiding the selection of apt implementation strategies. ClinicalTrials.gov Identifier: NCT04896021, registered 19/05/2021, https://clinicaltrials.gov/study/NCT04896021.

The prevention school diary: Evaluability assessment of a widely adopted intervention in Ile-de-France

ObjectivesThe prevention school diary is distributed each year to children aged between 10 and 11 years old by La Ligue contre le cancer, a French association promoting prevention and research against cancer. While they write their homework in the diary, children can learn about a range of health determinants. This diary promotes health in a fun and educational way, as it integrates drawings made by children about the different themes covered by the diary. This paper aims to present the evaluability assessment of this intervention in Ile-de-France (Paris area), where it is already widely deployed. Material and methodsWe have traced the history of the prevention school diary and assessed how it is currently used in Ile-de-France by leading interviews with county committees of La Ligue contre le cancer. Successive versions of the diary and results of teacher satisfaction surveys were examined. All information collected was integrated into a logic model, which characterizes the main components, actors, and effects of the intervention. ResultsThe prevention school diary was created in the West of France in the late 90s. It was then implemented in Paris and extended to other counties of Ile-de-France. Currently, six counties collaborate on the production of a common diary. Whereas it only dealt with tobacco consumption at the beginning, the prevention school diary now covers nutrition, physical activity, sun exposure, sleep and screen use, addiction, as well as safety in some counties. Three levels of intervention have been identified, depending on whether or not the distribution of the diary is followed by the production of drawings for the next edition or health education sessions. The expected effects of the prevention school diary have been integrated into a logic model emphasizing children, school, and family level. Outcomes include Capabilities (knowledge and skills), Opportunities, and Motivation to adopt healthy Behaviours, according to the theoretical model of behaviour change COM-B. ConclusionThe evaluability assessment phase enabled us to gain a better understanding of the conditions under which the intervention is deployed, and thus to identify the factors to be considered for a broad assessment of its effectiveness. It is especially important since the intervention is already well established in Ile-de-France.

Formation and evaluation of the ASCO medical education community of practice (Med Ed CoP).

9022 Background: High quality education is crucial for hematology/oncology (H/O) training and lifelong learning. However, H/O has historically prioritized clinical and research careers over medical education careers. Consequently, few programs support H/O educators. A CoP is a group that shares “a concern or passion for something they do and learn how to do it better as they interact regularly.” We formed the ASCO Med Ed CoP in 2021 to provide a collaborative network and professional development venue for H/O educators. Methods: Following a published framework for developing a global health professions educator community (Establish-Grow-Sustain), we (ASCO Education Scholars Program graduates) developed CoP mission and vision statements and a leadership structure (Establish), formed committees and projects (Grow), and gathered at the ASCO Annual Meeting and via virtual Town Halls (Sustain). In 2023, we collected demographics and evaluated the CoP using a logic model focused on inputs, activities, outputs, and impact. Results: As of December 2023, the CoP includes 238 members from 143 institutions (38 [27%] non-U.S.): 207 (87%) ASCO members; 127 (53%) women, 106 (45%) men, 5 (2%) no response (NR); 111 (47%) White, 88 (37%) Asian/Pacific Islander, 27 (11%) Latinx/Hispanic, 12 (5%) Black/African-American, 8 (3%) Middle Eastern, 1 (0.4%) African, 16 (7%) NR; 146 (61%) hematologist/oncologists, 68 (29%) trainees, 6 (3%) radiation oncologists, 3 (1%) surgical oncologists, and 15 (6%) other professionals. The logic model is displayed (Table). Conclusions: The CoP has had an impact on its members, ASCO, and beyond and continues to grow and sustain itself by recruiting broadly, driving projects forward, and making structural adjustments for long-term sustainability. Upcoming projects include providing more educational resources and measuring outcomes such as changes in members’ knowledge, skills, and attitudes. Membership diversity continues to be a challenge and a priority. [Table: see text]

Register transfer level hardware design information flow modeling and security verification method

Information flow analysis can effectively model the security behavior and security properties of hardware design. However, the existing gate level information flow analysis methods cannot deal with large-scale designs due to computing power and verification effectiveness, and the register transfer level (RTL) information flow analysis methods require formal languages to rewrite hardware designs. This paper proposes a RTL hardware design information flow modeling and security verification method. Based on the RTL functional model, this method develops an information flow tracking logical model to model security behavior and security properties of RTL hardware designs from the perspective of information flow. This method can be integrated into EDA flows and uses EDA testing and verification tools to capture security property violations and detect security vulnerabilities based on non-interference security policy. The results on experiments with Trust-Hub hardware Trojan benchmarks show that the proposed method can effectively detect hardware Trojans.

Preview‐Based Path‐tracking Stability Control with Vehicle Dynamic Uncertainty via Robust Weighted LPV/[formula omitted] Technique

This article proposes a preview-based robust path-tracking control technique for maintaining lateral stability and tracking performance of autonomous vehicles, particularly in the presence of external disturbances and modeling uncertainties. First, a vehicle-road dynamic model with tire norm-bounded uncertainty is developed, which includes time-varying velocities and preview distances. The lateral and yaw dynamic characteristics are also analyzed in the frequency domain. Subsequently, an optimal preview model corresponding to sideslip-yaw rate states and longitudinal velocities is formulated employing a fuzzy logic model, and the sideslip angle is estimated using a sliding mode observer. Furthermore, a linear parameter-varying (LPV)/H∞ path-tracking controller that satisfies the pole placement and performance constraint is constructed to guarantee robustness and lateral stability across the whole parameters space with the coexistence of external disturbances and parametric uncertainties. Finally, the simulation results demonstrate that the proposed controller substantially enhances tracking performance while also maintaining excellent lateral stability.

Library Professionology in Masters of Library and Information Science Training: Methodological Approaches to the Development of the Thematic Structure

The article deals with current issues of theory and methodology of library and information education. Its purpose is to substantiate the expediency of forming the thematic structure of the course “Library Professionology”, based on generalization of scientific ideas about the subject of library professionology as the library science discipline. The publication analyzes the methodological approaches of specialists from the leading universities of culture (Moscow State Institute of Culture, Belarusian State University of Culture and Arts, East-Siberian State Institute of Culture) to the construction of the content of one of the special academic disciplines – “Library Professionology”, – which is included in the curriculum for training Masters of Library and Information Activity.The author proposes one of the variants of the structural and logical model of the course “Library Professionology” – the complex theoretical and applied discipline that covers a wide range of problems related to the place and role of the library profession in the society. Mastering the essence and content of the library professionology by the Master students necessitates the acquisition of various professional competencies, with the general pedagogical competencies being the most significant among them. For this reason, the central place in the course should belong to the study of issues related to professional education – from history to current problems of organizing the library professionals training, content, methods and forms of training at the present stage.