Categories Of Environment Research Articles

Trends in Library Services and the competencies of the librarian

This study sought to discuss the perspective of services for libraries and to indicate the competences of professionals to act in face of this scenario. Regarding the nature of the research, it is characterized as basic research, using an exploratory approach and bibliographic and documental characteristics. The searches were carried out in the following databases: Web of Science, Scopus (Elsevier), SciELO. The 2,030 documents were retrieved; these were explored by reading the titles, the keywords, and the abstract. In this way, we evaluated which of the articles answered the research question. Among the documents checked, 55 documents were selected. The results identified services in the technological sphere: Artificial Intelligence (AI), the Internet of Things, Drones, Virtual Assistants, and Blockchain. In the society, sphere Co-working. In the Education category, Badging, and in the Environment category, Resilience. Given what was proposed, the librarian’s perception of these changes becomes essential as actors and providers of these services.

Langfristige Wohnstandortpräferenzen: Schlechte Nachrichten für ländliche Regionen

Abstract Increasing urban-rural disparities with regard to housing are receiving considerable attention in the public debate and in regional policy. The article discusses the extent to which microdata from the German Socio-Economic Panel (SOEP) can be used to analyse changes in residential location preferences. The analysis finds that, among various categories of the residential environment, housing in urban peripheral locations and in rural regions has become less attractive in recent decades.

Мой идеальный университет: физические и нефизические категории среды в представлениях студентов

<p>The article addresses the issue of identifying the needs of modern students in relation to the university educational environment. The study involved 48 architecture students aged 18 to 27 years (M=19.81; Mo=19; SD=1.82), including 83.33% girls (n=40) and 16.67% boys (n=8). The aim was to identify the most significant categories of the university educational environment. The research, which utilized a projective method – an essay titled "My Ideal University" – and content analysis of the responses, revealed that students consider non-physical categories to be the most important for effective and comfortable study. These categories include the organization of the educational process, the quality of the teaching staff, the curriculum, and opportunities for personal development. To confirm these results, a chi-square test was conducted, showing that non-physical categories of the educational environment were significantly more important than physical ones (χ2=14.812, df=1, p=0.001). The most prominent physical environment categories mentioned by students included the equipment of offices and classrooms, the aesthetic qualities of the space, well-organized university grounds, coworking spaces, and rest areas in the interior. The data obtained can provide practical recommendations for designing new campuses or renovating and reconstructing existing universities. Precisely determining the optimal conditions for an effective and comfortable educational process will help avoid excessive financial investments in improving the physical environment.</p>

Comfort in Automated Driving: A Literature Survey and a High-Level Integrative Framework

The advancement of automated vehicle technology and the resulting shift from active driver control to a more passive role introduce previously unexplored factors that influence drivers' comfort. Examples include the vehicle's level of automation and the driver's preferred driving style, trust in the vehicle, and situation awareness. To structure these as a resource that can support future research, we conducted a comprehensive literature review, identifying 51 works that directly or peripherally address comfort in an automated driving context. Most of these works focus on the physical component of comfort, rooted in vehicle dynamics, while only a few consider a broader concept of comfort necessary to encompass a more expansive set of factors. Based on this review, we propose an integrative framework of 27 comfort influencing factors and their interrelationships. We categorize factors into six groups, encompassing the driving environment, vehicle physical features and automation system, and the user's activity, individual characteristics, and understanding of the automated system. These six groups are organized into the three larger categories of environment, vehicle, and user-related considerations. Patterns that emerge from the framework include that: a) some factors primarily influence physical well-being (such as motion forces), b) some contribute to discomfort (automation failures) while others contribute to comfort (secondary activities), c) some are stable and known before the trip (individual characteristics) while others change over time (environment), and d) comfort or discomfort can lead users to change either the relevant factors (level of automation) or their own behavior (secondary activities).

Factors Influencing Kidney Transplantation Experiences for Patients From Culturally and Linguistically Diverse Backgrounds: A Qualitative Study.

Disparities in aspects of chronic kidney disease progression and management exist for patients from culturally and linguistically diverse (CALD) backgrounds, including with treatment and outcomes for kidney transplantation. This study aimed to explore factors that impact kidney transplant outcomes from the perspective of kidney transplant recipients (KTRs) from CALD backgrounds and their family caregivers. A descriptive qualitative design was utilised. Participants were recruited from two tertiary hospitals in Victoria, Australia. Semi-structured interviews were conducted with KTRs who were born overseas incountrieswhere English is not the primary language. Interviews were also conducted with family caregivers. Analysis was guided by the Framework Method, and emergent subcategories were mapped into the categories identified in Andersen's Health Service Utilisation Model. Data from 21 KTRs and five caregivers were grouped under the categories of Population Characteristics, Environment, Health Behaviour and Outcomes. KTRs believed that neither culture nor religious beliefs impacted how they managed their transplant or healthcare utilisation. KTRs expressed satisfaction with their care, felt no inequity with how they were treated by health professionals and expressed gratitude for the Australian healthcare system. Language did not necessarily impact transplant outcomes, but there was a reliance on interpreters for non-English-speaking patients as most written information was in English. Caregivers were instrumental in providing support but discussed the challenges involved. This study explored factors influencing kidney transplantation for KTRs from a CALD background. The study provided insight into how to deliver quality healthcare to these patients, highlighting the importance of health services providing information that is written in the patient's own language and respectively asking KTRs about their health beliefs or customs. Caregivers were instrumental in supporting KTRs, but there is a need tobetter prepare them for this role. Patient and public involvement was integrated into the design and delivery of the study. KTRs from CALD backgrounds assisted with framing the research questions andoffering advice on the recruitment and data collection process.

Presenteeism Among Healthcare Professionals (HCP) During the COVID-19 Pandemic: Survey of Perceived Barriers

Background: Presenteeism when ill in healthcare personnel (HCP) can contribute to the spread of respiratory illness among HCP and patients. However, during the COVID-19 pandemic and now, there are substantial challenges preventing HCP from staying home when ill. We examined these challenges using the Systems Engineering Initiative for Patient Safety (SEIPS) framework. Method: As part of a larger anonymous electronic survey between 3/11/2022 and 4/12/2022 at an academic tertiary referral center, in inpatient and ambulatory settings where respondents were asked to describe factors impacting presenteeism when ill, we analyzed free-text responses using the SEIPS categories of tasks, tools/technology, person, organization, and physical environment. Result: 522 comments were received in response to the open-ended survey question asking individuals to describe any factors that would assist them in remaining home and/or help them get tested for COVID-19 when they have symptoms of a respiratory illness; 21 were excluded due to absent or incomplete response. Of the remaining responses (N = 501, Figure 1), 82% were associated with a single SEIPS component such as organization (N = 409), while other responses discussed factors that involved two SEIPS components, in no particular order (N = 92). A majority of the responses (N = 324, 55%) reported organizational barriers, frequently citing a strict sick call-in policy as well as a lack of protected time-off for COVID-19 testing or related absences. The next two most commonly identified components were physical environment (N= 88, 15%) and tasks (N = 72, 12%), mentioning barriers such as far distances to testing centers and prolonged waiting periods for testing Results: The person and tools/technology components were less commonly identified, with a frequency of 9% each. Conclusion: A number of systems level factors were identified that may impact the ability of HCP to stay home when ill. Interventions to help overcome HCP perceived barriers to staying home when experiencing respiratory symptoms should focus on the policies and practices within an organization. Communication from leadership should support staying home with respiratory symptoms by creating plans for coverage and back up consistently across all employee types in direct care.

Construction risk of highway bridges in plateau and mountainous areas based on safety risk assessment

The study designed a risk assessment scheme to reduce the risk of highway bridge construction in highland mountainous areas, and optimised the existing hierarchical analysis method used for risk weight calculation, using entropy weight and fuzzy numbers for improvement, and designed an optimised fuzzy hierarchical entropy weight comprehensive risk assessment model. The results found that the maximum affiliation degree of site safety management risk is 0.39, which is a low-level risk; the maximum affiliation degree of personnel safety and operation quality category is 0.42, which is an intermediate risk; the maximum affiliation degree of machinery and equipment is 0.40, which is a high-level risk; the maximum affiliation degree of construction materials is 0.69, which is a low-level risk; and the maximum affiliation degree of environment category is 0.51, which is an intermediate risk. The maximum affiliation of the overall construction risk is 0.369, which indicates that the fuzzy comprehensive evaluation of the project is an intermediate risk. The results of the study show that the proposed construction risk assessment scheme for highway bridges in highland mountainous areas can provide certain reference for the construction of highland mountainous areas and avoid the corresponding safety risks.

The impact of environmental, social and governance policies on companies’ financial and economic performance: A comprehensive approach and new empirical evidence

In the last decade, the use of integrated reports (IR) comprising information on non-financial indicators from the environment, social, and governance (ESG) category has increased in time. Companies are now focusing not only on financial reporting but are notably including non-financial issues in their public reports. In doing so, they seek to align activities with the expectations of their stakeholders and the society in which they operate, as well as with various regulations, which are increasingly relevant worldwide. This study examines the impact of ESG reporting on company performance. Our research involved analyzing financial and non-financial data from 2,400 companies extracted from the Refinitiv Eikon database. Two methods of quantitative analysis were applied, namely multiple linear regression models processed by the robust regression method and structural equation modelling. Main findings entail that ESG indicators had strong and medium effects on company performance, but these effects varied across different dimensions, requiring a tailored approach to embed ESG factors in corporate strategy to enhance overall performance. Our paper provides a new perspective on the current and the potential impact of ESG reporting, based on systematic theoretical and empirical analyse , with multiple implications for business administration and management.

Biodiversity of Mangrove Brachyuran Crabs of Family Ocypodidae and Sesarmidae in Koto XI Tarusan District, West Sumatera, Indonesia

The Mangrove ecosystem is an ecosystem that is around the edge of the coast and many organisms live in this ecosystem, one of them is crabs. The crabs that are often found are deposit crabs from the Ocypodidae and Sesarmidae families that act as balancers in the mangrove ecosystem. This study aimed to analyze species, diversity, evenness, and dominance in the mangrove vegetation area of Koto XI Tarusan District, West Sumatera, Indonesia. The method used is the descriptive method. The biodiversity of brachyuran crabs’ families, Ocypodidae and Sesarmidae, was analyzed with the Shannon-Wiener index (H’). Four indices were calculated for crabs Ocypodidae and Sesarmidae: species identification, Shannon-wiener (H’) diversity, evenness, and dominance indices. The results showed that there were six species of deposited crabs from the Ocypodidae and Sesarmidae families, namely Uca bellator, U. rosea, Perisesarma eumolpe, P. plicatum, Sarmatium germaimi, and Sesarma curoense. The most abundant species (Di) came from the family Sesarmidae. However, for all stations, diversity (H') has a value that is in the medium category, and evenness (E) is in the high category at each station. The dominance (D) obtained a value categorized as low at each observation station. The condition of environmental parameters in the mangrove vegetation area is included in the category of a good environment. It is still within normal limits for the crabs of the Ocypodidae and Sesarmidae families to live. Two substrate types are found in each observation path: muddy and sandy mud.

Major Dimensions of Smart City: A Systematic Literature Review

Numerous smart city frameworks have arisen in recent years as a response to the global urbanization problem. The emergence of frameworks with their distinct dimensions causes confusion in the selection of a framework and the implementation of a smart city. Therefore, more thorough research on the smart city dimension is necessary to build a more comprehensive smart city framework. This study conducted a systematic literature review to find the most prevalent dimension in the subject by examining a collection of 30 papers from five reputable sources that discuss smart city frameworks. A total of 38 smart city dimensions were retrieved from 12 smart city frameworks and 9 smart city maturity models. The 38 dimensions are then categorized according to their similarity. This study results in six main categories of smart city dimensions, including economy, people, environment, government, living, and branding.

High Global Health Security Index is a determinant of early detection and response to monkeypox: A cross-sectional study.

Recent outbreaks of monkeypox (Mpox) have occurred in countries outside of Africa, with large numbers of cases spreading rapidly to almost every continent. We aimed to analyze the correlation between the Global Health Security (GHS) Index (categories and indicators) and the Mpox case rate in different regions and globally. In this cross-sectional study, we used data from Mpox cases from the WHO, and the GHS categories and indicators for detection, prevention, reporting, health system, rapid response, international norms compliance, and risk environment. Outcome measures were the relationship between GHS index (categories and indicators) and Mpox case rate using crude and adjusted non-linear regression models. After performing adjusted analyses, only risk environment and detection and reporting index were associated with Mpox case rates in the 99 countries and the Region of the Americas, respectively. Antimicrobial resistance (AMR) indicators of the prevention category, risk communication of the rapid response category, the joint external evaluation and performance veterinary services of the norms category, and the infrastructure adequacy of the risk environment category were associated with Mpox case rates in the 99 countries (p<0.05). Laboratory systems strength and quality indicator of the detection and reporting category, and emergency response operation indicator of the response rapid category were associated with Mpox case rates in the countries of the region of the Americas (p<0.05). AMR indicator of the prevention of the emergence category, and the infrastructure adequacy of the risk environment category were associated with Mpox case rates in the countries of the European Region (p<0.05). In the countries of the other regions, only the trade and travel restrictions indicator of the rapid response category was associated with Mpox case rates (p<0.05). Countries, particularly in the Americas region, with high levels of infrastructure adequacy and laboratory system strength and quality as measured by the GHS index are better equipped to detect more Mpox cases. Therefore, they have higher Mpox case detection rates and can successfully respond to Mpox outbreaks.

Association between Contextual Factors and Affordances in the Home Environment of Infants Exposed to Poverty.

Home environments of infants exposed to poverty exhibit fewer affordances for child development. This study aimed to investigate the association between contextual factors and affordances in the home environments of infants facing poverty. Term infants (n = 128) were divided into two groups: (1) exposed group (EG), comprising term infants exposed to poverty, and (2) comparison group (CG), consisting of term infants classified with medium and high socio-economic status. The main dependent variables were physical space, variety of stimulation, gross and fine motor toys, and the total score; measured using the Brazilian version of the Affordances in the Home Environment for Motor Development-Infant Scale (AHEMD-IS) questionnaire, named Affordances no Ambiente Domiciliar para o Desenvolvimento Motor-Escala Bebê. Statistical analysis employed independent sample t-tests or Mann-Whitney tests, chi-square tests, and stepwise multiple linear regression models to evaluate predictors of less adequate home environments. The EG presented significantly fewer affordances in gross motor toys (Cohen's r = 0.353; p < 0.01); fine motor toys (Cohen's r = 0.327; p < 0.01); and total score (Cohen's r = 0.377; p < 0.01). Binary logistic regression analysis showed a significant association (r2 = 0.828, p < 0.01) between the less than adequate home environment category and maternal age (p = 0.043, OR: 0.829 (0.692-0.994)), revealing that maternal age was associated with better quantity and quality of affordances for child development.

스타트업의 성장을 위한 해외 주요국의 정책 비교 연구

Purpose: The main purpose of this study is to analyze policy cases in major overseas countries for the sustainable growth of startups from an ecological perspective and compare the results. In addition, through the results of this comparison and analysis, we seek to derive what the policy characteristics of major overseas countries have on the current status of startups and the ecosystem structure in Korea. By closely examining global policy cases and identifying various policy approaches, we hope that the results and implications of this study will contribute to ongoing efforts to foster a dynamic startup ecosystem for stakeholders who make up the corporate ecosystem, such as entrepreneurs and policy makers.&#x0D; Research design, data, and methodology: The UK, France, and Germany were seen as relatively suitable for comparison with Korea in terms of population and economic size. Additionally, Singapore and Estonia, despite their small domestic market size, exhibited high competitiveness in the growth of startups and the subsequent creation of unicorn companies. The selection of these countries as the subject of research was based on these considerations. Policy cases from each of these countries were explored, focusing on reports from government agencies, and these cases were analyzed based on common standards to derive commonalities and differences.&#x0D; Results: The results of this study can be characterized in three categories. First, concerning the growth of a company, what they have in common is that they are divided into stages according to the growth cycle and focus on customized support needed at that stage. Second, in the cooperation and network category, a common feature is building a collaborative ecosystem through domestic and international partnerships. Additionally, small countries in terms of population and economy emphasize the importance of international cooperation and resource utilization, while large countries tend to emphasize the integration of domestic entrepreneurial capabilities and resources and the synergy effects to strengthen the startup ecosystem. Third, in the institutional environment and infrastructure category, it is characterized by a focus on actively attracting overseas talent and supporting research, as well as ensuring that related support is based on local infrastructure or embedded in the local ecosystem.&#x0D; Implications: The implication of this study is, first of all, that there is a need for the scope of policy support related to the startup ecosystem to be evenly distributed regionally. Additionally, the composition of the network in the startup ecosystem must be accompanied by horizontal changes based on the company’s growth cycle. Furthermore, there is an expansion in the diversity of members participating in the startup ecosystem. This means that emphasizing both quantitative and qualitative diversity can enable startups to promote growth based on inclusivity and creativity while dealing with the risks and challenges of complex business activities to which they are relatively frequently exposed.

Deficient Aeronautical Decision-Making Contributions to Fatal General Aviation Accidents.

INTRODUCTION: General aviation (GA), mainly comprised of light (≤12,500 lb) aircraft, maintains an inferior safety record compared with air carriers. To improve safety, aeronautical decision-making (ADM) practices have been advocated to GA pilots since 1991. Herein, we determined the extent to which GA pilots disregard such practices.METHODS: Fatal accidents (1991-2019) involving private pilots (PPLs) in single-engine airplanes were identified (N = 1481) from the National Transportation Safety Board AccessR database. Of these, deficient go/no-go and in-flight ADM-related mishaps were scored using the PAVE (pilot, aircraft, environment, external pressure)/IMSAFE (illness, medicine, stress, alcohol, fatigue, eating) and PPP (perceive, process, perform) models, respectively. Statistical testing used Poisson distributions, Fisher exact tests, and Mann-Whitney U-tests.RESULTS: Of the 1481 accidents, 846 were identified as deficient ADM-related. Electing to depart into a hazardous environment (PAVE), disregarding wellness (IMSAFE), and poor aircraft familiarity (PAVE) represented the most common categories (54%, 21%, and 20%, respectively) of errant go/no-go ADM. A 64% decline in fatal accidents related to errant go/no-go decisions for the environment category was evident over the 30-yr period, with little decrements in the other domains. Within the errant environment-related category accidents, the decision to depart into forecasted adverse weather (e.g., degraded visibility, icing, thunderstorms) constituted the most prevalent subcategory (56%, N = 195). Surprisingly, of this subcategory, accidents were overrepresented by over nine- and threefold for instrument-rated PPLs disregarding icing and thunderstorm forecasts, respectively.CONCLUSION: With little decrement in ADM-related accidents in the pilot, aircraft, and external pressure domains, new strategies to address such deficiencies for PPLs are warranted.Boyd DD, Scharf MT. Deficient aeronautical decision-making contributions to fatal general aviation accidents. Aerosp Med Hum Perform. 2023; 94(11):807-814.

MICROBIOLOGICAL PROFILE OF HIGH TOUCH AREAS OF CRITICAL AND NON-CRITICAL UNITS IN TEACHING HOSPITAL OF MADHYA PRADESH, INDIA

In the current scenario, Nosocomial infections (NI) due to environmental contamination in shared settings of health care, are a serious public health issue affecting millions of people every year worldwide. Therefore, this study aims to create a microbiological profile of high touch areas of Critical and Non-Critical units in Teaching Hospital of Madhya Pradesh. This Cross-sectional Study deals with bacterial (aerobic and anaerobic) surveillance and its antimicrobial susceptibility testing which will aid in enlisting antimicrobial-resistant bacteria and guide us in the use of antimicrobials judiciously. A total of 128 samples were taken from Critical care units and non-Critical units from eight surface locations classified into categories of immediate patient environment and commonly used equipment. These samples were then processed for isolation and identification by standard methods. Out of 128 samples, 28 (21.8%) samples were culture positive for aerobic only and none for anaerobic bacteria. Among which more culture positive samples were isolated from non-Critical units 53.5%, topping the list of contamination were General Medicine ward and Gynecology ward (17.8 %). The majority of isolated microorganisms were Staphylococcus aureus of which 38.4% were MRSA. It showed maximum resistance for Ampicillin (AMP) and was most sensitive to Gentamicin (GEN). Present study highlights that control of Staphylococcus aureus infection (including MRSA) in hospitals is essential. It can be achieved by proper implementation of hospital infection control measures and regular surveillance activity.

PENGENALAN IDENTITAS BUDAYA BETAWI MELALUI ADAPTASI CERITA ANAK NARADA KARYA KAMIL KAILANI

&lt;p style="text-align: justify;"&gt;&lt;em&gt;The objectives of this study are classified into four categories, namely: 1) analyzing the process of adaptation of Arabic to the Betawi language by identifying linguistic, cultural, and contextual changes that occur using adaptation methods; 2) identifying changes in the cultural context to uncover aspects such as traditions, values, and social norms reflected in the story; 3) analyze the use of Arabic vocabulary and phrases in this story as a result of adaptation. This method helps to understand the role of Arabic vocabulary in the story and its influence on the Betawi language; 4) examine the cultural and social impact of translation using the Story Adaptation method; 5) evaluate the cultural and social impact of adapting this story in Betawi society. The analysis results show that children's stories can influence cultural identity and enrich Betawi cultural heritage. This study used qualitative-descriptive research methods. The research method uses two sources, namely, primary from children's storybooks "Narada", and secondary sources from books, articles, and dictionaries. The results of this study found translations with adaptations: 1) categories of natural environment. 2) self-name category. 3) category of relatives' names. The strategies used in translating this book are taqdim and ta'khir (putting forward-backward), hadzf (discarding), ziyadah (adding), and tabdil (replacing).&lt;/em&gt;&lt;/p&gt;

Environment and taxonomy shape the genomic signature of prokaryotic extremophiles

This study provides comprehensive quantitative evidence suggesting that adaptations to extreme temperatures and pH imprint a discernible environmental component in the genomic signature of microbial extremophiles. Both supervised and unsupervised machine learning algorithms were used to analyze genomic signatures, each computed as the k-mer frequency vector of a 500 kbp DNA fragment arbitrarily selected to represent a genome. Computational experiments classified/clustered genomic signatures extracted from a curated dataset of sim 700 extremophile (temperature, pH) bacteria and archaea genomes, at multiple scales of analysis, 1le k le 6. The supervised learning resulted in high accuracies for taxonomic classifications at 2le k le 6, and medium to medium-high accuracies for environment category classifications of the same datasets at 3le k le 6. For k=3, our findings were largely consistent with amino acid compositional biases and codon usage patterns in coding regions, previously attributed to extreme environment adaptations. The unsupervised learning of unlabelled sequences identified several exemplars of hyperthermophilic organisms with large similarities in their genomic signatures, in spite of belonging to different domains in the Tree of Life.

Developing a cloud evidence method for dynamic early warning of tunnel construction safety risk in undersea environment

Traditional methods have limitations in achieving precise predictions of risk occurrence at an exact future time and have difficulties transforming between qualitative and quantitative indicators and handling multi-source heterogeneous risk data. This study quantifies and analyzes the multi-source construction safety risks classified into the categories of man, machine, material, method and environment (4M1E), and presents a cloud evidence method that integrates wavelet de-noising algorithm, cloud model, and Dempster-Shafer (D-S) evidence theory. A real-time risk prediction and warning is provided using this method after the fusion of multi-source uncertain information and the transformation between qualitative and quantitative indicators, enabling the timely detection of potential risks for project managers. This method analyzing “uncertainty” with “certainty” is verified by an undersea tunnel construction project. The result shows that this method is effective in early warning risks two days before their actual occurrence, providing reference significance for risk early warning of the tunnel construction project.

Students Ability to Self-Regulate in a First-Year Experience Health Sciences Course

Purpose: Research has shown students in general do better throughout their post-secondary education if they participated in a First Year Experience (FYE) course. Research questions whether first-year students peform better in face-to-face, online, or blended courses. The purpose of this study was to determine the perceptions of first-year health science students in online and blended learning environments and self-regulation, in a FYE course. Methods: The study utilized educational design and research tools designed to create and improve teaching and learning practices. For the design of the learning environment, analysis, design, development, implementation, and evaluation (ADDIE) was implemented. Action-based research (ABR) was utilized for analyzing and improving instructional practices. A survey adapted to evaluate self-regulation was used to evaluate perceptions of self-regulation, goal setting, environment, task strategies, time management, help seeking, and self-evaluation and students’ perceptions of instructional modality. Results: A total of 657 students (online n=295 and blended n=362) consented and participated in the study. Majority of online participants (90%) somewhat agreed to strongly agreed in being efficient in goal setting compared to the blended group at 87%. In the area of environment for studying, 95% of online participants reported having a comfortable, distraction-free environment as compared to the blended group (85%). For the category of learning environment (online vs. blended), 94% of online participants reported being comfortable, compared to 85% in the blended. There was low confidence identified among participants (63%) in the categories of time management, environment, help seeking, and task strategies. Conclusions: Ways to help students improve and expand their self-regulation skills should be developed in the early years of higher education. The study revealed students were not accessing supplemental resources to aid their learning. Therefore, faculty may need to consider streamlining the supplemental resources made available to students, utilizing the ADDIE model to evaluate their course. Increasing faculty and peer face time, could improve self-regulation skills and make students feel a stronger connection to the learning process and potentially overall academic success.

Феномен коррупционного поведения и его ассоциативно-понятийная составляющая в социальных репрезентациях руководителей подразделений дорожно-патрульной службы ГИБДД

&lt;p style="text-align: justify;"&gt;The topic of corrupt behavior with a high degree of public danger remains relevant in science and practice. It is not trivial to study corrupt behavior at the level of social representations as a manifestation of the psychological space of a social group, namely a professional group of traffic police officers. The purpose of the study is to determine the features of social ideas about the phenomenon of corrupt behavior, identified on the basis of the establishment by respondents of associative-semantic relations with other concepts. In the course of an empirical survey carried out in an online format with the heads of the State Traffic Inspectorate, a survey, analysis of specific situations and the method of directed associations were applied. The main results consist in finding the content and structural features of social representations of corrupt behavior revealing a close associative relationship with the categories of social mentality, professional environment, corruption risk, legal awareness and professional deformation. The obtained conclusions can serve as a starting point for experimental research and the formation of explanatory theoretical knowledge.&lt;/p&gt;