High Level Of Impact Research Articles

ЦВЕТОМЕТРИЧЕСКИЕ И СПЕКТРАЛЬНЫЕ ХАРАКТЕРИСТИКИ ЛИСТЬЕВ CARAGANA ARBORESCENS И ELAEAGNUS ANGUSTIFOLIA КАК ПОТЕНЦИАЛЬНЫХ ИНДИКАТОРОВ АНТРОПОГЕННОГО ВОЗДЕЙСТВИЯ

The development and implementation of new systems for obtaining and computer analysis of biological images and spectrograms, which increased the indicative possibilities and opened opportunities for expanding the number of applicable species in subarid areas, causes the relevance of this study. The shrubs Elaeagnus angustifolia and Caragana arborescens, widely used in the south-east of European Russia for the reclamation of man-made landscapes, protective afforestation, were selected as the objects of research. For collecting material, we used sites with low and high levels of anthropogenic impact, characterized by an increased content of toxic trace elements in the soil and air pollution. Resulting from the colorometric analysis, the more expressive changes we recorded for the longitudinal and transverse gradients of green for both studied species. Spectrometry revealed that the light absorption intensity at the wavelength of A664 was sensitive to the level of anthropogenic load for the selected plants. The determination of total chlorophyll, flavonoid, anthocyanin concentrations, along with the calculation of the nitrogen balance index in leaf blades by the «Dualex Scientific+» spectrometer clearly demonstrated differences in the values of these indicators among the selected biological species and their growth in areas with varying degrees of anthropogenic impact. A comparative analysis of the results between species, as well as between sites with different degrees and nature of anthropogenic load, allowed us to conclude that both approaches could currently be effectively combined with classical bioindication methods. The sufficiently high sensitivity of E. angustifolia and C. arborescens to changes in environmental pollution recommends these species as a potential plant bioindicator in the subarid zone.

Social Media Influence, Brand Reputation, and Electronic Word-of-Mouth Marketing: A Structural Equation Model on Consumer Purchase Decision Making on Apparel Businesses

In the digital age, consumer purchasing decisions are significantly influenced by social media, brand reputation, and electronic word-of-mouth marketing, with consumers increasingly relying on online platforms and peer reviews for their choices. This study aimed to develop a causal model examining the influence of social media, brand reputation, and electronic word-of-mouth marketing on purchasing decisions and to determine the best-fit model for understanding purchasing decisions in the apparel industry. The researchers utilized a quantitative, non-experimental design and applied Structural Equation Modeling (SEM) to analyze data from 200 consumers in Santo Tomas. Respondents were chosen using convenience sampling techniques. Various data analysis methods were utilized, including the mean, the Pearson Product-Moment Correlation Coefficient, Multiple Regression Analysis, and Structural Equation Modeling (SEM), based on responses gathered from four adapted questionnaires. The findings indicated that the exogenous variables, social media influence, brand reputation, and electronic word-of-mouth marketing, had very high levels of impact on the endogenous variable of consumer purchase decision-making and were consistently evident in the apparel sector. These factors were strongly linked to consumer purchasing decisions, with social media influence being the most significant. The analysis shows that social media and brand reputation were key in predicting purchases, making them the best-fit model. To improve consumer decisions, strategies may leverage social media marketing and build a strong brand reputation through customer orientation and a commitment to social and environmental responsibility. Future researchers may conduct studies investigating factors that might influence consumer choices, such as impulsive buying tendencies and psychological attitudes.

DISCOVERY AND VALIDATION OF A NEW CLASSIFICATION OF ANA-RMDS THAT BETTER PREDICT LONG-TERM OUTCOMES COMPARED TO LEGACY DIAGNOSES

O015 / #174Topic:AS20 - Precision MedicineABSTRACT CONCURRENT SESSION 02: SLE METRICS – IMPROVING OUTCOMES & MEASURES22-05-2025 1:40 PM - 2:40 PMBackground/PurposeANA-associated RMDs (ANA-RMDs) include SLE, Sjogren’s, Scleroderma, Myositis, and mixed/undifferentiated CTD. Despite overlapping clinical and immunophenotypic features, there is significant disparity in access to targeted therapies across ANA-RMDs. A robust data-driven reclassification using clinical and biomarker data with clinical impact could define more homogeneous cohorts for therapies and clinical trials.MethodsWe trained a variational autoencoder with the European PRECISESADS cohort of 876 ANA-RMD patients using R, keras, and tensorflow. 25 covariates were prioritized by ANA-RMD specialists and patient focus groups. Data was compressed to an 8-neuron latent space and analyzed with multiple clustering techniques. For validation, K-means centroids from PRECISESADS were applied to the DEFINITION dataset (219 patients) (Figure 1). Cluster durability was assessed using entropy, elbow plots, and cluster stability index. Gene expression data was analyzed with heatmaps and summary statistics. Clinical impact in DEFINITION was analyzed cross-sectionally and longitudinally using descriptive statistics, PROs (eg, SF36), physician assessments (eg, BILAG-2004, PGA), and gene expression scores. 5-year follow-up outcomes included hospitalization rates. Kaplan-Meier and Sankey plots were generated with survival and flipPlots R packages.Figure 1.ResultsDeep learning revealed 5 distinct ANA-RMD classes. Each class encompassed patients from various legacy diagnoses, with no single legacy diagnosis mapping to a new class. These classes were: (i) Sicca, mostly patients with a legacy diagnosis of pSS, SLE, or UCTD with low disease activity but high IFN-I expression (Figure 2); (ii) Quiescent, characterized by low gene expression and physician-assessed disease activity but high patient-reported pain scores; (iii) Active MSK disease, with high MSK disease activity and high inflammatory gene expression; (iv) Polyinflammatory, with high levels of therapeutic change, PRO impact, and high myeloid/interferon/inflammatory gene expression, containing substantial numbers of previously undifferentiated patients; (v) Myeloinflammatory, with high healthcare utilization, physician-assessed disease activity, and emergency department attendance (Figure 3). Five-year healthcare data revealed significant differences in hospital admission rates (p<0.01) and emergency department attendance (p<0.01) for the new classes but not for legacy diagnoses.Figure 2.Figure 3.ConclusionsUsing advanced deep learning, we developed and validated a new classification for ANA-RMDs. Our findings showed that (i) more of the ANA-RMD spectrum could be classified than with legacy diagnoses; (ii) immunophenotypic and clinical features within these classes were more homogeneous than with legacy diagnoses, suggesting suitability for the same therapies and outcomes; (iii) these classes better predicted long-term outcomes and healthcare utilization. Clinical trials in these populations may yield larger effect sizes and provide evidence applicable to more patients, thereby reducing healthcare inequality.

Experimental Verification of Punching Shear with FRP Reinforcement: Innovations in the New Eurocode Generation

The new generation of Eurocodes for concrete structures, specifically the draft standard FprEN 1992-1-1:2023, introduces an innovative application of non-prestressed Fibre Reinforced Polymer (FRP) reinforcement (Annex R). This standard represents the first standardized method for the application of FRP reinforcement, an area that has been lacking in European standards to date. Composite reinforcement using glass (GFRP) or carbon fibre (CFRP) provides a perspective alternative in specific applications where it can replace traditional steel or stainless steel reinforcement. The main advantages are high corrosion resistance and electromagnetic neutrality. This allows for application in structures exposed to a high level of environmental impact. However, composite reinforcement with glass fibres exhibits sensitivity to alkaline environments and has a lower modulus of elasticity compared to steel reinforcement. Due to the linear elastic stress-strain diagram for FRP reinforcement, the design of structures with FRP reinforcement requires a different approach than traditional concrete reinforcement. The standard FprEN 1992-1-1:2023 provides specific approaches for the design of concrete elements using FRP reinforcement, considering various types of loading. In the context of design resistance to punching shear, the standard offers a specific relationship that determining the punching shear resistance for using longitudinal FRP reinforcement. In situations where it is necessary to consider punching shear reinforcement, the shear reinforcement should not be made from FRP. The transition to the new Eurocode brings significant changes in the method of design punching shear resistance compared to the current standard ČSN EN 1992-1-1. The aim is to verify the accuracy of the newly introduced relationships for punching shear through a real experiment with steel and FRP longitudinal reinforcement. The experiment will also research the effect of the adding FRP stirrups on the overall resistance under local loading conditions.

Demonstrating impact of allied health professional participation in the NIHR Associate Principal Investigator scheme

IntroductionResearch impact is defined as an effect, change or benefit to the wider society or services beyond academia. Measuring impact demonstrates benefit and value for money of publicly-funded research. This study evaluates differing levels of impact associated with completion of the National Institute for Health and Care Research Associate Principal Investigator (PI) scheme on SIP SMART2 (Swallowing Intervention Package - Self Monitoring, Assessment & Rehabilitation Training 2); cluster-randomised multi-centre phase II trial with a focus on Prehabilitation of swallowing in head and neck cancer.MethodsData was acquired using two qualitative methods: Reflective virtual discussion group and documentary evidence based on the individual portfolios/checklists of eight accredited Associate PIs. Framework analysis and the evidence of impact model was employed for analysis.ResultsHigh level impact was identified on the micro level, with evidence of individual learning and sense of pride in becoming an accredited Associate PI. Medium to high level impact was found at the meso level including taking a leading role in research delivery within own organisations and raising professional profiles amongst the wider team. There were limited examples directly demonstrating macro level impact.ConclusionThe Associate PI scheme provides opportunities for professional groups that otherwise might not be involved in clinical trials, promoting equality and inclusiveness with benefits across multiple levels of impact. The current checklist of activities is designed to demonstrate competence in clinical trial delivery and may not currently capture the wider benefits and impact of the scheme. These could be better captured with some additions to the checklist including follow-up on potential impacts accrued beyond the 6-month timefame.

Monitoring career impact and satisfaction in a graduate program in dentistry.

The assessment of student outcomes is essential for monitoring the quality of graduate programs in healthcare sciences. As such, this study focused on developing a self-employed questionnaire that allowed for the evaluation of elements focused on career impact and levels of satisfaction regarding graduate program education. Following, this instrument was utilized in a cross-sectional study design with alumni that had obtained their degree (MSc or PhD) over a 25-year span (1995-2020) from a graduate program in dentistry located in Brazil. The employed instrument comprised a total of 43 questions presenting a mix of both close and open-ended questions coupled with 5-point Likert scales. The questionnaire was hosted online and a total of 528 alumni were invited to participate through e-mail and social media outreach. 376 alumni answered the questionnaire (71.2% response rate). The majority were female (69.9%), and with a MSc (58.5%). Levels of satisfaction towards the program as well the impact in career and life were higher in alumni that had obtained a PhD degree compared to MSc. After obtaining the degree, an increase in involvement in teaching/research positions (3.4% vs 21.5%, p < 001) and a decrease in unemployment (21.9% vs 2.1%, p < 001) were observed. The highest levels of impact were observed regarding the achievement of the professional goals as nearly 90% of the population agreed with this statement. This study highlighted the creation and employment of an assessment tool that can be utilized to monitor the perceptions of student outcomes. Among the findings, a decrease in unemployment and a high degree of career impact and satisfaction were observed in the population of this study. Moving forward, it is essential that monitoring educational outcomes remains a priority worldwide.

P148 Discovery and validation of a new classification of ANA-RMDs that better predict long term outcomes compared to legacy diagnoses

Abstract Background/Aims ANA-associated RMDs (ANA-RMDs) include SLE, Sjogren’s, scleroderma, myositis, and mixed/undifferentiated CTD. Despite overlapping clinical and immunophenotypic features, there is significant disparity in access to targeted therapies across ANA-RMDs. A robust data-driven reclassification using clinical and biomarker data with clinical impact could define more homogeneous cohorts for therapies and clinical trials. Methods We trained a variational autoencoder with the European PRECISESADS cohort of 876 ANA-RMD patients using R, keras and tensorflow. 25 covariates were prioritised by ANA-RMD specialists and patient focus-groups. Data was compressed to an 8-neuron latent space and analyzed with multiple clustering techniques. For validation, Kmeans centroids from PRECISESADS were applied to the DEFINITION dataset (219 patients). Cluster durability was assessed using entropy, elbow plots, and cluster stability index. Gene expression data was analyzed with heatmaps and summary statistics. Clinical impact in DEFINITION was analyzed cross-sectionally and longitudinally using descriptive statistics, PROs (e.g., SF36), physician assessments (e.g., BILAG-2004, PGA), and gene expression scores. 5-year follow-up outcomes included hospitalization rates. Kaplan-Meier and Sankey plots were generated with survival and flipPlots R packages. Results Deep learning revealed five distinct ANA-RMD classes. Each class encompassed patients from various legacy diagnoses, with no single legacy diagnosis mapping to a new class. These classes were: (i) sicca, mostly patients with a legacy diagnosis of pSS, SLE, or UCTD with low disease activity but high IFN-I expression; (ii) high non-inflammatory disease burden, characterized by low gene expression and physician-assessed disease activity but high patient-reported pain scores; (iii) inflammatory MSK disease, with high MSK disease activity and high inflammatory gene expression; (iv) polyinflammatory, with high levels of therapeutic change, PRO impact, and high myeloid/interferon/inflammatory gene expression, containing substantial numbers of previously undifferentiated patients; (v) myeloinflammatory, with high healthcare utilization, physician-assessed disease activity, and emergency department attendance. Five-year healthcare data revealed significant differences in hospital admission rates (p &amp;lt; 0.01) and emergency department attendance (p &amp;lt; 0.01) for the new classes but not for legacy diagnoses. Conclusion Using advanced deep learning, we developed and validated a new classification for ANA-RMDs. Our findings showed that (i) more of the ANA-RMD spectrum could be classified than with legacy diagnoses; (ii) immunophenotypic and clinical features within these classes were more homogeneous than with legacy diagnoses, suggesting suitability for the same therapies and outcomes; (iii) these classes better predicted long-term outcomes and healthcare utilization. Clinical trials in these populations may yield larger effect sizes and provide evidence applicable to more patients, thereby reducing healthcare inequality. Disclosure J.E. Arnold: Honoraria; Alumis. L. Carter: Consultancies; UCB. Honoraria; Alumis. M. Md Yusof: Consultancies; UCB and Aurinia. Honoraria; Alumis, Roche and Novartis. Z. Wigston: None. D. Toro-Dominguez: None. S. Relton: None. G. Barturen: None. M. Alarcon-Riquelme: None. E.M. Vital: Consultancies; Roche, GSK, UCB. Honoraria; Roche, GSK, Aurinia, Novartis, AstraZeneca, Lilly. Grants/research support; Roche, AstraZeneca, Sandoz.

ХАРАКТЕРИСТИКА ТРАНСПОРТНОЇ ІНФРАСТРУКТУРИ КРИВОГО РОГУ

Kryvyi Rih is one of the largest industrial centers in Ukraine, which results in a high level of technogenic environmental impact, particularly due to a significant number of motor vehicles. Intensive traffic, congestion, and a high share of freight transport contribute to air pollution, increased noise levels, and road safety risks. Consequently, there is a growing need to implement a comprehensive transport infrastructure management system to optimize traffic flow, reduce the negative environmental impact of motor vehicles, and improve the quality of life for city residents. The proposed transport infrastructure management system includes a set of measures aimed at modernizing the road network, optimizing traffic flows, developing public transport, and promoting the use of environmentally friendly modes of transport. One of the key aspects is the introduction of intelligent transport systems (ITS), including automated traffic light control systems and real-time traffic monitoring. These measures will help reduce congestion, increase road capacity, and improve overall mobility. Encouraging the use of electric vehicles by expanding the charging station network, providing financial incentives for owners, and introducing low-emission zones will help reduce air pollution. Additionally, the implementation of modern parking systems with differentiated tariffs and automated control will contribute to easing congestion in the central areas of the city. The comprehensive implementation of these measures will contribute to the creation of a safer, more environmentally friendly, and efficient transport system in Kryvyi Rih. This will significantly reduce pollutant emissions, improve air quality, optimize traffic flows, and enhance the comfort of urban residents. The sustainable development of the city’s transport infrastructure will align with modern environmental and technological requirements, promote improved mobility, and ensure comfortable movement within the city. Keywords: motor vehicles, ecology, air pollution, transport infrastructure, traffic optimization, intelligent transport systems, environmentally friendly transport.

Сапарғали Бегалин мен Христиан Андерсен шығармалары тілінің көркемдік ерекшелігі

The article examines the artistic features of the language of the works of Kazakh and foreign children's writers as a result of research conducted on the material of fiction, including children's literature. Using specific examples, the linguistic and stylistic features of works for children are analyzed using the example of the works of the Kazakh children's writer Sapargali Begalin and the Danish children's writer Christian Andersen. In their works, the authors have clearly demonstrated the authenticity, educational value, national identity and creative skills of children's literature. Sapargali Begalin is an outstanding writer who has made a great contribution to the development of Kazakh children's literature. The uniqueness of the writer's works lies in the vitality and realism of his characters. Through the artistic depiction of children's close connection with nature and simple moments of life, the writer develops the inner world of readers. For example, in the story «Satzhan», moral values are promoted through Satzhan's restraint and her passion for nature. In addition, Begalin skillfully uses metaphors and figurative techniques when describing natural scenes, revealing a beautiful image of the Kazakh steppe. The use of national elements gives his works a unique tone. Among the author's literary techniques, an important place is occupied by the use of national elements, the use of artistic linguistic means, and a realistic depiction of the psychological characteristics of characters. In addition, the writer's use of folklore elements enhances the educational and cognitive content of his works. The linguistic specificity of Hans Christian Andersen's works is determined by the philosophical content and poetic imagery of his subjects. His fairy tales, such as «The Little Mermaid» and «The Princess and the Pea» are particularly impressive for their extensive use of dialogues and metaphors, the interconnectedness of nature and human life, as well as the harmonious depiction of sadness and joy. The simplicity and depth of the writer's works for children will arouse the interest of any reader. The works of both writers represent an invaluable legacy in the development of children's literature. The popular educational works of Sapargali Begalin, the poetic and philosophical works of Hans Christian Andersen educate children to be honest, hardworking and moral. The authors demonstrate a high level of educational, cognitive and aesthetic impact on their readers through creative skills and artistic means. The article presents a literary, theoretical and linguistic analysis aimed at identifying these features.

The Impact of Classroom Heat on Behaviour and Mental Health among Post-Primary School Students in Delta State

Much recently, owing to global warming, poor ventilation or inadequate power supply, or even in cases where there is power supply, inability of schools to afford electricity due to high tariff, our classrooms have been thrust into severe heat. This study seeks the impact of classroom heat on behaviour and mental- health among post primary school students in delta state. The study was guided with five research questions. The study adopted casual-comparative and correlational design. The population comprised of 46,759 SS students in both public and approved private schools with a sample of 1080 (540 public and 540 private) students. The study adopted the multi-stage sampling technique. The instruments that was used for data collection is Questionnaire titled classroom heat on Behaviour and mental-health questionnaire (CHBMHQ). The data were analysed using descriptive and inferential statistics using mean, standard deviation and coefficient of determination. The findings showed among others a high level of impact of classroom heat on behaviour among post primary school students in delta state. It was therefore recommended amongst others that Delta State Post Primary Schools, Environmental personnel should take more leadership role in advising people on effective adjustment to heat and proactive in improving messaging about adaptation before hot weather to reduce long term health costs and sustain societal function as the climate warms in schools.

The Influence of Work-Life Balance and Physical Work Environment on the Performance of State Civil Apparatus Teachers (ASN) of NSF Cimahi Junior High School

Based on the results of the teacher performance evaluation in 2022 and 2023, there has been a decline in teacher performance, suboptimal physical work environment conditions, and extra workloads that often extend beyond working hours. This study aims to analyze the influence of work-life balance and physical work environment on the performance of Civil Servant Teachers (ASN) at SMP NSF Cimahi. The research uses a quantitative approach with a census method, employing a questionnaire as a data collection tool. The research population includes 36 ASN teachers for the independent variable and 1 principal for the dependent variable. The results of the descriptive analysis show that the work-life balance of ASN teachers falls within the balanced criteria, with the sub-variable of balance being the highest value. The physical work environment falls into the good category, with the sub-variable of workplace safety being the highest value. The overall performance of teachers falls within the good criteria, with the highest sub-variable being social competence. The results of multiple linear regression show that work-life balance and physical work environment simultaneously influence the performance of ASN teachers at SMP NSF Cimahi with a high or strong level of impact. This research proves that a good work-life balance and a conducive physical work environment significantly contribute to the improvement of teacher performance at SMP NSF Cimahi. This research provides important contributions in supporting the development of policies to improve work-life balance and physical work environments to enhance teacher performance, which ultimately contributes to the quality of education.

The Research on Technology in Arabic Language Learning: A Bibliometric Analysis (1993-2024)

This study aims to analyze research trends related to the use of technology in Arabic language learning from 1993 to 2024 using bibliometric analysis methods. The research data was obtained from the Scopus database, and through data processing, the authors identified 100 relevant publications. The bibliometric analysis revealed that 2023 had the highest number of publications, with 21 articles related to the use of technology in Arabic language learning. Furthermore, a significant citation trend associated with this topic occurred in 2022, with a total of 135 citations in scientific literature. Regarding the origin of the research, Malaysia emerged as the leading contributor with 24 related publications, while Saudi Arabia stood out as the country with the most significant international collaboration, with 23 collaborative links with other countries. Of all the journals that published this research, 26 were classified as Q1 journals, indicating a high level of relevance and impact of this research in the scientific literature. A deeper analysis revealed that the focus of research related to the use of technology in Arabic language learning encompasses four main aspects: 1) Deep Learning and e-learning; 2) Speech recognition; 3) Learning systems and machine learning; 4) Natural language processing. This study provides a comprehensive insight into the research trends and developments in the use of technology in the context of Arabic language learning over the past two decades.

Identification of Key Risk Factors for Resident Evacuation Based on BC‐FRAM

Abstract The community evacuation process is a complex system, coupled and linked by multiple interactions, and traditional safety engineering methods are unable to explain how multiple causes can lead to an incident. By introducing the concept of mediated centrality and constructing the BC‐FRAM critical risk factor identification model for residential evacuation, the BC‐FRAM model solves the problem that traditional functional resonance methods can ignore risk modules with low performance fluctuations but high impact levels in complex networks. The ability of the BC‐FRAM model to identify key risk factors in community evacuation is improved by a factor of 1 and the ability to identify failed functional connections is improved by 44.4% over the traditional FRAM model.

Feasibility Analysis of Using Electric Vehicle Service in Luang Prabang City

This research aims to study the feasibility of using electric vehicles for public transportation services in Luang Prabang city, with objectives to analyze: 1) factors affecting social demand for public electric vehicle services, and 2) economic viability of the investment. The analysis uses SPSS software, with questionnaires designed in Google Forms and actual interviews conducted at the following locations: Souphanouvong University, Night Market, Luang Prabang Provincial Hospital, Airport, Railway Station, and Tad Kuang Si Electric Bus Station. The sampling method was non-probability sampling with a calculated sample size of 400 people, and the collected data was then statistically analyzed. The results of the study were found that: 1). The factors that had the greatest impact on the decision to use electric vehicle services were physical characteristics, personnel, and product aspects. On average, all 7 factors were at a high impact level. It was observed that in the case of studying the satisfaction level of those who had previously used public electric vehicle services, the three factors that users valued most were the same as the factors affecting demand: product aspects, personnel aspects, and physical characteristics. The regarding economic viability, the project evaluation results examined through 4 indicators show: Net Present Value (NPV) of 612,012,960 kip, Investment Return Rate (IRR) of 20.33%, Profitability Index (PI) of 1.14, and Payback Period (PB) of 1 year and 8 months. Based on this analysis, the project is deemed feasible for investment.

Effectiveness analysis of surface reservoirs environmental monitoring methods in conditions of their eutrophication by agricultural facilities (review)

The high level of anthropogenic impact on the soils of arable lands and pastures has led to their inability to retain and decompose pollutants, including biogenic substances, transported with water. At the same time, agricultural facilities deserve special attention, which on the one hand are the largest water consumers worldwide, and on the other hand make a significant contribution to the biogenic pollution of surface waters. Due to the stable biogenic saturation of reservoirs, there is a threat of a widespread increase in phytoplankton biomass, which significantly affects the quality of water resources. Despite the existing measures to combat this phenomenon, the issue of water bodies environmental monitoring is open in conditions of eutrophication. The article provides a brief description of the most unfavorable agricultural facilities in terms of biogenic load on reservoirs. The features of the biogenic saturation mechanism of the aquatic environment from agricultural territories are considered. The article highlights the main methods of environmental monitoring of the aquatic environment, provides a brief description of their effectiveness in conditions of eutrophication, and provides an overview of innovative methods and technical solutions in the field under consideration. The author focuses attention on the need to create integrated environmental monitoring systems for water bodies that combine the useful properties of its three main methods (physico-chemical, biological and remote), as well as taking into account the process of eutrophication, including from agricultural facilities. The development of such complexes will expand the functionality, improve the quality and efficiency of environmental monitoring of surface waters located near agricultural facilities.

Bearing the brunt: an exploration of the mental health and wellbeing of dental practice managers and receptionists in UK dental workplaces

Abstract Aim This study aimed to explore the mental health and wellbeing of dental practice managers and receptionists in the UK and inform opportunities for further study into this crucially important yet under-researched occupational group.Methods Dental practice managers and receptionists were invited to participate in an online questionnaire collecting quantitative and qualitative data on current levels of burnout, depressed mood, experienced trauma and preparedness to provide quality care in dental teams in the UK. Quantitative data were analysed to provide descriptive frequencies, and means and standard deviations were calculated for each scale. Qualitative data were collected via a free-text box and analysed using thematic analysis.Results In total, 130 questionnaire responses were received from dental practice managers and receptionists, of which 13 included a free-text response. Staff reported high levels of negative psychosocial impact, including depressive symptomology, burnout and trauma. Increasing pressures on staff, challenging relationships with patients and colleagues, and lack of recognition were identified as key stressors in UK dental workplaces.Discussion The findings suggest that the current pressures of the dental workplace are having a detrimental effect on the health and wellbeing of dental practice managers and receptionists in the UK. Failure to address the issues identified is likely to have an impact on the ability of this crucial workforce to deliver high-quality care.

Pre-school and primary teachers in the process of detecting child maltreatment in Andalusia (Spain) / El profesorado de Infantil y Primaria en el proceso de detección del maltrato infantil en Andalucía (España)

This study analyses teachers’ knowledge about child maltreatment in the family and explores their professional background in dealing with this problem. 227 pre-school and primary teachers from Andalusia (Spain) participated in the study. The majority of the teachers had never reported a case of child maltreatment during their professional background. These situations were experienced by the teachers with high levels of emotional impact, and both they and their schools showed high levels of involvement in cases identified. Three teacher profiles were identified, the group of trained teachers being the most capable of identifying more complex signs of child maltreatment, followed by those with more years of seniority. The process of detection and reporting of child maltreatment in the school setting is complex, and a wide range of elements need to be analysed conjointly.

Does the Sustainability of the Country Differentiate the ESG of Companies and How It Affects the Relationship between ESG and Firm Value? Evidence from the European Union

Theoretical background: The paper draws on two relevant theories – stakeholder theory and institutional theory. Non-financial information on how the operations of a company impact its surroundings in environmental, social, and governance (ESG) areas is more and more important in terms of firm value and according to stakeholders theory positive relationship between these two is expected. However, although the research on the relationship between company ESG performance (ESGP) and firm value origins since the beginning of the 1970s, the authors document no conclusive results. Above is theorised to be conditioned by the role of institutions as they reflect a rational purpose that guides behaviours of entities toward certain ends. Purpose of the article: Two aims were set in the study. First, to examine the impact of the sustainability level of the European Union (EU) Member States in the years 2012–2021 on ESGP of non-financial sectors stock companies. The second aim of the paper was to assess the country sustainability level as the factor differentiating the nature and the strength of ESGP impact on firm value of non-financial sectors stock companies listed on the regulated financial markets of EU Member States in the years 2012–2021. Research methods: For the purpose of achieving set goals the study utilised two econometric models. Models were estimated using Panel Least Squares (PLS) regression with Fixed Effects (FE). Tobin’s Q proxied firm value, ESG scoring from Refinitiv proxied company ESGP. Global Sustainability Competitiveness Index (GSCI) from Solability was used as the measure of country sustainability. Company financial and ESG data was sourced from Refinitiv EIKON, while country data was accessed from Solability, Eurostat, Human Development Index and Transparency International. Main findings: Countries of both low and high sustainability level impact company ESGP positively. However, almost twice as big influence of highly sustainable countries was noted for low ones. Research results documented ESG to impact firm value positively. An increase in ESG score of a company from the country with low sustainability level decreased its firm value and the opposite was noted in case of companies of countries with high sustainability level. Investors tend to value positively companies with good ESGP and strong nation-level institutions in the field of sustainability and to punish (i.e. with a lower valuation) firms from countries of poor sustainability, even if these entities reached unexceptionally good ESGP.

Quantifying Trunk Impact Dynamics and Workload with Inertial Sensors in Goalball Players.

The aim of this study was to quantify trunk impact dynamics in goalball players using inertial sensors and evaluate the goalball players' workloads, focusing on changes between the first and second halves of a match to enhance understanding of the demands experienced throughout the game. Utilizing inertial technology, trunk impacts during goalball gameplay were analyzed to provide a holistic insight into how these impacts influence athletes' dynamic stress loads, which refers to the physical demands placed on the body during dynamic movements. Six goalball players were recruited to wear an accelerometer during a whole goalball game to quantify trunk impacts. The results showed a higher number of total impacts and a higher number of impacts at higher levels during the first half, compared to a higher percentage of impacts at a low impact level in the second half. These results suggest that the intensity of gameplay is related to the number of impacts sustained, with players experiencing significantly more impacts, particularly at very low, low, and very high impact levels, in the first half compared to the second half. This decline in impacts aligns with the reduction in game intensity as the match progressed, as indicated by a lower heart rate and a trend towards a lower dynamic stress load in the second half. Future research could explore targeted training interventions aimed at optimizing workload and performance in goalball players.

QEYSSat 2.0—white paper on satellite-based quantum communication missions in Canada

We present the white paper developed during the QEYSSat 2.0 study, which was undertaken between June 2021 and March 2022. The study objective was to establish a technology road-map for a Canada-wide quantum network enabled by satellites. We survey the state-of-art in quantum communication technologies, identify the main applications and architectures, review the technical readiness levels and technology bottlenecks and identify a future mission scenario. We report the findings of a dedicated one-day workshop that included Canadian stakeholders from government, industry and academia to gather inputs and insights for the applications and technical road-map. We also provide an overview of the Quantum EncrYption and Science Satellite (QEYSSat) mission expected to launch in 2024–2025 and its anticipated outcomes. One of the main outcomes of this study is that developing the main elements for a Canada-wide quantum internet will have the highest level of impact, which includes Canada-wide entanglement distribution and teleportation. We present and analyze a possible future mission (“QEYSSat 2.0”) that would enable long-range quantum teleportation across Canada as an important step towards this vision.