Big Impact Research Articles

Unraveling the fear of COVID-19 reinfection: insights from frontline doctors in China.

Considering the end of global emergency status of Coronavirus-19 (COVID-19) and the persistent risk of reinfection for healthcare workers (HCWs), it is important to evaluate the attitude of the HCWs toward reinfecting with COVID-19. To gather information about participants' concerns regarding reinfection with COVID-19, a comprehensive online questionnaire was administered to all individuals involved in the study. DASS-21 was used to assess their mental health. Logistic regression was used to evaluate the factors associated with fear of reinfection. A total of 982 questionnaires were collected for this study, with only 503 questionnaires included in the final analysis. Of the 503 respondents, 201 (39.96%) feared reinfection with COVID-19. Three factors emerged as significantly associated with the fear of reinfection: (a) having been infected with COVID-19 before, (b) feeling that COVID-19had a lasting effect on one's life, and (c) experiencing anxiety. The most common factors reported by those who feared reinfection were: concern about the negative effects of reinfection on their physical health, worry about the possible long-term complications of reinfection, and belief that reinfection would not have a big impact. And the mental state of HCWs has improved and become more optimistic. Although the morale of HCWs has improved, it remains evident that a significant portion of them still have concerns about reinfection and continue to experience anxiety. Moving forward, it is crucial to provide timely psychological care and support to HCWs, alongside reinforcing efforts in epidemic management.

How smooth is your ride? Comparison of sensors and methods for surface quality assessment using IMUs

As a major component of riding comfort, surface roughness has a significant impact on peoples' decision to ride bicycles. Riding comfort is most commonly derived from accelerations measured by inertial measurement units (IMUs). However, roughness metrics from different works are not directly comparable as no ‘benchmark data’ exists. This work aims at alleviating this problem by comparing several well-established methods from literature on the same data. Furthermore, to quantify the effect of different sensor systems, for each test run data from both a smartphone and an industrial grade IMU were collected. To compare the derived roughness measurements, the reliability and stability of each sensor-method combination is calculated using non-parametric statistics. The results indicate handlebar mounted smartphones to be sufficient for surface roughness assessment. Furthermore, the selected roughness calculation method has the biggest impact on resulting assessments, above the impacts of both sensor and analyzed segment length. Based on the results, recommendations for surface roughness assessment are provided in the conclusion.

Kunci Sukses Kepuasan Konsumen dalam Perkembangan Bisnis Perusahaan: Systematic Literature Review

In the business world, apart from producing quality goods or services, the thing that needs to be maintained is consumer trust. Declining sales of goods or services can occur from consumer dissatisfaction with the goods or services offered by business people and this will have a big impact on the sustainability of the company's business. Apart from maintaining consumer satisfaction, it is necessary to carry out continuous innovation related to consumer satisfaction with the goods or services offered. One of the successes of a business actor or business owner is by having loyal consumers and one thing that can be used to assess consumer satisfaction is by conducting a survey containing the value of the services provided by the business actor or business owner. The impact of consumer satisfaction if the results obtained increase significantly in a positive direction, it will quickly grow in sales of goods or services being marketed. Consumer satisfaction can be obtained from several actions taken, namely by using a survey containing the factors that influence the satisfaction felt by consumers regarding service and convenience for consumers in the steps taken to use the goods or services offered by business actors. Due to the importance of the key to consumer satisfaction for business people, in this case the author conducted a literature review study using secondary data covering several types of businesses to find out what the keys to consumer satisfaction are. And the consumer satisfaction factor can influence a company's business development and is an important component in running a business.

Implementing a Bayesian approach using Stan with Torsten: Population pharmacokinetics analysis of somatrogon.

Fully Bayesian approaches are not commonly implemented for population pharmacokinetic (PK) modeling. In this paper, we evaluate the use of Stan with R and Torsten for population PK modeling of somatrogon, a recombinant long-acting growth hormone approved for the treatment of growth hormone deficiency. As a software for Bayesian inference, Stan provides an easy way to conduct MCMC sampling for a wide range of models with efficient sampling algorithms, and there are several diagnostic tools to evaluate the MCMC convergence and other potential issues. Three different sets of priors were evaluated for estimation and prediction: a weakly informative uniform set, a moderately informative set, and a very informative set of priors. All three prior sets showed good performance and all chains mixed well. There were some minor differences in the final parameter posterior distributions while implementing different prior sets, but the posterior predictions covered the observations nicely, not only for the individuals included in posterior sampling but also for new individuals. The impact of a centered versus non-centered parameterization were evaluated, with the non-centered approach improving the estimation time, but it was still computationally intensive. Computational resources had the biggest impact on sampling time. Stan took approximately 2.5 h total for the MCMC sampling on a high-performance computing platform (6 cores) and may be reduced further with additional computational resources. The model and comparisons presented show that with adequate computational resources, the Bayesian approaches using Stan and Torsten are useful for population PK analysis, especially for the analysis of special populations, small sample datasets, and when complex model structures are needed.

Velocity-space analysis of fast-ion losses measured in MAST-U using a high-speed camera in the FILD detector

Abstract A Fast-Ion Loss Detector (FILD) was installed for the first time at the MAST-U spherical tokamak during its upgrade in 2021. A new CMOS camera was installed in the MAST-U FILD acquisition system to provide high spatial resolution (1.1 MPx) with an acquisition frequency of up to 3.5 kHz. This camera has enabled the systematic analysis of the velocity-space of the fast-ion losses measured in MAST-U presented in this manuscript. The main parameters that determine the FILD measurement have been analysed to maximise the signal in the detector: The orbit-following code ASCOT predicts an inverse relation between the FILD signal and the probe's relative distance to the separatrix. This prediction has been validated experimentally, enabling the measurement of fast-ion losses in the flat-top phase of the discharge; furthermore, ASCOT simulations show a big impact of the edge safety factor (q95) on the toroidal deposition of the first-orbit losses, indicating that the signal in the MAST-U FILD can be maximised by running scenarios with q95<6. This prediction was validated experimentally by a scan in the toroidal magnetic field. The experimental resolution of the MAST-U FILD has been evaluated for a typical MAST-U scenario with up to 750 kA plasma current. The results show that the diagnostic resolution is in the order of 0.5 to 1 degree in pitch angle, and of 1 to 3 cm in gyroradius in current scenarios. A systematic analysis of the velocity-space of the losses shows that the measured gyroradii of the prompt-losses match those of the NBI injection energies within the resolution of the diagnostic. The experimentally measured pitch angles have been compared with ASCOT simulations, and it has been found that the agreement is better for scenarios heated with the on-axis beam, since this beam enables measurements of the magnetic field pitch angle. This analysis has been applied to a discharge where type-III ELM-induced fast-ion losses were measured, showing that the ELMs result in an increase in the FILD signal, and that the losses are coming from passing orbits.

Empréstimos culinários no português:uma abordagem lexicográfica e diacrónica

Culinary loanwords in Portuguese: a lexicographical and diachronic approach: This article aims to present and lexicographically examine culinary loanwords in Portuguese. Our study shows that dictionaries do not always match what we can see in the language. However, we also found that borrowings have a big impact on Portuguese culinary vocabulary. The main aim of examining the selected examples is to detect some grammatical, spelling, and semantic inaccuracies. Dictionaries exhibit hesitation in spelling certain loanwords, as well as hesitations regarding the grammatical numer of borrowed terms and divergencies in the integration of foreign terms.

Impact of nuclear fragmentation on the stopping power ratio of12C ion beams.

Nuclear fragmentation generates a diverse dosimetric environment in the path of 12C ion beams. Concise parametrization of the beam's composition is paramount for determining key correction factors in clinical dosimetry. This study sets out to provide such a parametrization based on detailed Monte Carlo simulations of clinically relevant 12C beams. Special attention was paid to the products of nuclear fragmentations and their importance in determining the stopping power ratios. Using the Monte Carlo simulation package GATE, the spectral fluence of all primary and secondary particles in water were computed at different depths for selected clinically relevant incident energies. Collision-stopping power data was taken from the ICRU90, SRIM and MSTAR database, as well as from previous publications. The choice of stopping power data was shown to have a bigger impact on the resulting stopping power ratio than the choice of physics lists for the simulations. A comprehensive analysis of the relationship between fragmentation and dosimetric data has been provided. This study compared different methods for determining spectral fluence-based stopping power ratios, which is essential for accurate ion beam dosimetry.

Pengaruh Green Economy dan Sustainable Ecotourism terhadap Peningkatan Ekonomi Masyarakat Studi: Ekowisata Mangrove Lembung

Green economy and sustainable ecotourism are currently the main focus in efforts to advance the tourism sector which is not only economically profitable but also environmentally sustainable. The aim of this research is to determine the influence of green economy and sustainable ecotourism on improving the community's economy in the Lembung Mangrove Ecotourism. This research involved 94 respondents consisting of local communities, business actors, tourists and tourism managers in the Lembung Mangrove Ecotourism area. The method used is quantitative using the regression method to test the relationship between the variables green economy, sustainable ecotourism and economic improvement. The results of the analysis show that the two dependent variables contribute significantly to economic growth. Green economy shows a significant positive influence, indicating that the application of green economy principles such as efficient management of natural resources and environmentally friendly technology has a big impact on sustainable economic growth. Meanwhile, sustainable ecotourism also has a significant positive influence through the principles of environmental conservation and empowerment of local communities which supports increased economic prosperity. The results of this hypothesis test confirm that sustainability in the economy and ecotourism is able to create a balance between economic growth and environmental preservation. This research makes an important contribution to the development of sustainable economic policies that support the future of the ecotourism sector.

Influence of fluid properties and model parameters with regard to stratified gas-liquid gap flows

Abstract In rotary positive displacement machines - like twin-screw compressors - clearance flows have a big impact on the quality of the energy conversion. To partially seal the gap connections and thereby reduce internal losses, an auxiliary fluid, e.g. oil, is often injected into these machines. If a chamber model method is used to simulate the thermodynamic operating behavior of such a wet-running twin-screw machine, two-phase mass flow rates through the gaps must be calculated as accurately as possible in order to achieve a high simulation accuracy. This paper presents an extended model for simulating such two-phase gap flows. The model allows the simulation of a gap flow, taking into account the possible outgassing of a gas (e.g. refrigerant) from a liquid phase (e.g. oil) along the gap. The model is used to analyse the influence of various fluid properties (e.g. solubility, density, viscosity) or boundary conditions (e.g. pressure ratio, quality at the inlet of the gap) in relation to the simulated gap mass flow rate.

Pengenalan Literasi Anti Korupsi bagi Siswa SD Negeri 1 Sumber Mulyo, Kecamatan Sumber Rejo, Kabupaten Tanggamus

Effective Anti-Corruption Education Can Shape Students' Character and Attitudes to Understand and Reject Corruption in the Future. Schools as educational institutions play an important role in the process of forming students' character. This study aims to explore the implementation of the introduction of anti-corruption literacy at SD Negeri 1 Sumber Mulyo, Sumber Rejo District, Tanggamus Regency. The method used is observation at SDN 1 Sumber Mulyo and students in grades 5 and 6 became participants in the socialization activities. The purpose of the approach and observation carried out is to get to know the conditions and behavior of students at school better. The anti-corruption literacy program implemented at SD Negeri 1 Sumber Mulyo has succeeded in increasing students' awareness of the importance of honesty and integrity in everyday life. Through interactive and easy-to-understand methods, students can understand the forms of corrupt behavior that often occur on a small scale but have a big impact if left unchecked.

Strategi Komunikasi dalam Mengatasi Keluhan Pelanggan: Studi Kasus PT. Namto Kraf Indo

This research aims to analyze communication strategies in dealing with customer complaints at a company called PT. Namto Kraf Indo. Handling complaints is a crucial part of the business world that can have a big impact if not resolved quickly. Therefore, an effective communication strategy is needed so that complaints can be resolved immediately. This research uses a qualitative approach with a case study method. Data collected through observation, in-depth interviews and documentation of workers, managers and other related divisions. Data analysis was carried out using descriptive qualitative analysis techniques to identify forms of communication strategies carried out by the company and to look for factors inhibiting the communication process in the company. The results of the research show that the communication strategy used by the Namto company is not completely good, it needs to continue to be developed by improving the quality of the workforce so that it is better able to compete with other companies and it needs to hold gradual job training for employees so that they are able to have additional skills to support better service capacity. good for the company. Researchers suggest the need for a more intense evaluation, this is useful so that companies know where the capacity of their workers is and how to improve it to help the company compete with other companies in terms of service and quality of its workforce.

“Make sure that everybody feels there is a space for them”: Understanding and promoting appearance inclusivity at university.

Appearance concerns are a pervasive issue affecting many university students and contributing to poor psychosocial and academic outcomes. To combat these, action is needed by universities to promote appearance inclusivity. The current study used inductive qualitative methods to explore students’ lived and/or living experiences and concerns relating to their physical appearance and views on how to achieve an appearance inclusive university. Seventeen students aged 19 to 55 from a UK university participated in online semi-structured interviews (n=12) and focus groups (n=5). Thirteen participants were women, three were men, and one was non-binary. Interviews and focus groups were transcribed verbatim and analysed using reflexive thematic analysis. Students identified several ways appearance concerns had negatively impacted them and supported an increased focus on appearance inclusivity at university. Three themes were developed: 1) appearance has a big impact on my university life; 2) it’s not the same for everyone (i.e., individual differences and intersectionality impact students’ experiences); and 3) intentional change is needed (i.e., change is necessary to improve appearance inclusivity, but it should be consciously thought out). Strategies to improve appearance inclusivity should be prioritised and carefully considered to avoid tokenism and ensure they centre the needs of those from underrepresented groups.

The National Joint Registry Data Quality Audit of elbow arthroplasty.

The aim of this audit was to assess and improve the completeness and accuracy of the National Joint Registry (NJR) dataset for arthroplasty of the elbow. It was performed in two phases. In Phase 1, the completeness was assessed by comparing the NJR elbow dataset with the NHS England Hospital Episode Statistics (HES) data between April 2012 and April 2020. In order to assess the accuracy of the data, the components of each arthroplasty recorded in the NJR were compared to the type of arthroplasty which was recorded. In Phase 2, a national collaborative audit was undertaken to evaluate the reasons for unmatched data, add missing arthroplasties, and evaluate the reasons for the recording of inaccurate arthroplasties and correct them. Phase 1 identified 5,539 arthroplasties in HES which did not match an arthroplasty on the NJR, and 448 inaccurate arthroplasties from 254 hospitals. Most mismatched procedures (3,960 procedures; 71%) were radial head arthroplasties (RHAs). In Phase 2, 142 NHS hospitals with 3,640 (66%) mismatched and 314 (69%) inaccurate arthroplasties volunteered to assess their records. A large proportion of the unmatched data (3,000 arthroplasties; 82%) were confirmed as being missing from the NJR. The overall rate of completeness of the NJR elbow dataset improved from 63% to 83% following phase 2, and the completeness of total elbow arthroplasty data improved to 93%. Missing RHAs had the biggest impact on the overall completeness, but through the audit the number of RHAs in the NJR nearly doubled and completeness increased from 35% to 70%. The accuracy of data was 94% and improved to 98% after correcting 212 of the 448 inaccurately recorded arthroplasties. The rate of completeness of the NJR total elbow arthroplasty dataset is currently 93% and the accuracy is 98%. This audit identified challenges of data capture with regard to RHAs. Collaboration with a trauma and orthopaedic trainees through the British Orthopaedic Trainee Association improved the completeness and accuracy of the NJR elbow dataset, which will improve the validity of the reports and of the associated research.

Investigating behavior, attitude and intention towards waste segregation in tier II cities of India using theory of planned behavior

India's rapid urbanisation and waste rise make sustainable waste management challenging. Present study utilizes theory of planned behavior (TPB) to identify issues related to behavioral adaptations in waste segregation among the households’ procedures in Jaipur and Indore cities of India. 448 respondents from each city were selected using convenience sampling. A self-designed questionnaire containing 30 items corresponding to attitude (AT), Perceived Behaviour Control (PBC), Subjective norms (SN) and Intention (IN) was used. The demographic profile of the respondents was also collected, and its analysis revealed nearly uniform distribution of the sample population. No significant effect of any of the demographic parameter was noted on either of the attributes. Respondent’s city showed significant influence on all the 4 attributes due to drastic variations recorded in the responses for each determinant. SN had the biggest impact on IN, although all three hypotheses were validated and showed significantly beneficial impacts. The proposed model was a very good fit. Further, comparison of model for both cities revealed that only 2 attributes i.e. AT & SN in case of Jaipur and AT & PBC in case of Indore had significant positive effect on waste sorting intentions. The findings of this study provide a comprehensive comparison between two distinct cities, emphasizing how various behavioral factors contribute to changes in intention within diverse contexts. The key concerns that are highlighted based on the responses of residents from different cities could be used to prepare a roadmap for improving sensitivity towards waste segregation among Indian population.

Supply chain resilience in the face of global disruptions: A comparative study between the US and the UK

The United States and the United Kingdom are major players in the global economy. When disruptive occurrences occur, the supply chains of the two countries are affected adversely, and the effect is felt by business organizations in the countries. Over the recent years, the world has suffered from major economic disruptions including the COVID-19 and the Ukraine war. This research was aimed at examining the supply chain resilience tactics in both the United States and the United Kingdom, with a key focus on comprehending the resilience of enterprises in the countries and the governments. The main objective of the research was to analyse and evaluate the level of supply chain resilience in the countries with focus on supply network ecosystems. The study utilised mixed method approach to collect data from 20-30 participants. Semi-structured interviews, case studies, and surveys were all used to collect data that was analysed to answer the questions of the research. Findings indicated that both nations emphasised the need for diversification and risk assessment for risk resilience. Also, the study indicated that culture and leadership had a big impact on the United Kingdom, while the technical aspect had a big impact on United States. The study recommends development of robust supplier relationships, utilisation of digital systems, and promotion of leadership and organisational culture.

The Importance of the Islamic Education Philosophy Principles in the 21st-Century Education Context at SMK IT Khoiru Ummah Curup

Education has a big impact on people and society. The tenets of Islamic educational philosophy provide a solid basis for guiding a comprehensive and spiritual learning process within the context of Islamic education. Investigating how Islamic educational philosophy can be applied to 21st-century learning at SMK IT Khoiru Ummah Curup is the aim of this project. This study uses a qualitative descriptive approach as its main focus, which is the method employed in this study. This study used triangulation, documentation, interviews, and observation as data gathering methods. The analysis's findings demonstrate that these ideas are still applicable to SMK IT Khoiru Ummah Curup's 21st century curriculum. The findings of this study help SMK IT Khoiru Ummah Curup better grasp the applicability of Islamic educational philosophy's tenets to 21st-century learning. Creating a curriculum and instructional strategies that are more appropriate for the modern Islamic educational setting is one of the practical consequences of the research. It is believed that this study will help educational institutions like SMK IT Khoiru Ummah Curup successfully incorporate Islamic teaching concepts into the 21st-century learning environment. The study's findings demonstrate that Islamic educational philosophy's tenets are still applicable and advantageous in the context of SMK IT Khoiru Ummah Curup's 21st-century curriculum.

Association between World Trade Center disaster exposures and body mass index in community members enrolled at World Trade Center Environmental Health Center

Studies suggest that environmental disasters have a big impact on population health conditions including metabolic risk factors, such as obesity and hypertension. The World Trade Center (WTC) destruction from the 9/11 terrorist attack resulted in environmental exposures to community members (Survivors) with potential for metabolic effects. We now examine the impact of WTC exposure on Body Mass Index (BMI) using the data from 7136 adult participants enrolled in the WTC Environmental Health Center (EHC) from August 1, 2005, to December 31, 2022. We characterized WTC-related exposures by multiple approaches including acute dust-cloud exposure, occupational or residential exposures, and latent exposure patterns identified by synthesizing multiplex exposure questions using latent class analysis. Employing multivariable linear and quantile regressions for continuous BMI and ordered logistic regression for BMI categories, we found significant associations of BMI with WTC exposure categories or latent exposure patterns. For example, using exposure categories, compared to the group of local residents, local workers exhibited an average BMI increase of 1.71 kg/m2 with 95% confidence intervals (CI) of (1.33, 2.09), the rescue/recovery group had an increase of 3.13 kg/m2 (95% CI: 2.18, 4.08), the clean-up worker group had an increase of 0.75 kg/m2 (95% CI: 0.09, 1.40), and the other mixer group had an increase of 1.01 kg/m2 (95% CI: 0.43, 1.58). Furthermore, quantile regression analysis demonstrated that WTC exposures adversely affected the entire distribution of BMI in the WTC EHC Survivors, not merely the average. Our analysis also extended to blood pressure and hypertension, demonstrating statistically significant associations with WTC exposures. These outcomes highlight the intricate connection between WTC exposures and metabolic risk factors including BMI and blood pressure in the WTC Survivor population.

Analysis of key factors for better results during continuous improvement events within engineering environment

There are few in-depth studies in the Management literature related to the development of activities implemented during the Kaizen week. This work contains a theoretical basis related to the engineering and product development environments as well as to the Kaizen tool and the Lean tool, which seek to reduce waste and implement continuous improvement. Through a case study in an aviation transportation industry, some Kaizens are analyzed in the engineering environment. With the analysis of data collected in Kaizen Weeks, a dissertative study uses three sources of data collection, between them, structured interview, and demonstrates the theory presented, proving the existence of impacting factors that influence the Kaizen week. Using percentages and multivariate analysis, it highlights the factors that have the biggest impact and the necessary attention to be given to them.

High-intensity electroacupuncture is superior to low-intensity electroacupuncture for knee osteoarthritis: a meta-analysis of randomized controlled trials.

Electroacupuncture (EA) has been demonstrated to be efficacious and safe in patients with knee osteoarthritis (KOA), yet the optimal current intensity for pain control in KOA remains unspecified. The present meta-analysis aimed to compare the effects of high-intensity and low-intensity EA in terms of pain relief and functional improvement in KOA. A thorough and comprehensive literature search for randomized controlled trials (RCTs), all looking at the intensity of EA for KOA, was carried out in PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Science Journal Citation Report (VIP) and Wanfang database, as well as ClinicalTrials.gov. All databases were searched from their inception until April 2022. Study quality was assessed using the Cochrane risk of bias (RoB)2 tool. Finally, a meta-analysis of all eligible RCTs was performed using Review Manager 5.3. Three studies with 472 individuals were included in the meta-analysis. The pain intensity reductions were significantly different between the high-intensity EA group and low-intensity EA group (mean difference (MD) = -0.22, 95% confidence interval (CI) = -0.26 to -0.18, p < 0.00001). There was no significant difference between the two groups in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores (MD = -3.62, 95% CI = -12.22 to 4.98, p = 0.41). High-intensity EA significantly improved emotional scale (ES) scores compared to low-intensity EA (MD = -0.72, 95% CI = -0.76 to -0.67, p < 0.00001). The findings of this systematic review and meta-analysis indicated that high-intensity EA provides superior pain relief and has a bigger impact on emotional scale scores in patients with KOA.

Electric Energy Savings for Household Appliances: Small Steps, Big Impact

Saving electrical energy in households is an important aspect of facing the challenges of climate change and the need for better energy efficiency. The study examines how simple steps, such as using energy-efficient electrical appliances, implementing efficient daily habits, and maintaining electrical systems, can significantly reduce energy consumption and carbon emissions. By analyzing various energy-saving strategies, this study shows that small actions can have a big impact, both in terms of reducing carbon footprint and saving energy costs for households. This study aims to identify and analyze energy efficiency measures that can be applied in households to reduce energy consumption without reducing comfort. The research method used is quantitative descriptive with a cross-sectional survey design, collecting data through observations, surveys, and structured interviews on several households in urban and suburban areas. The results of the study show that the implementation of simple measures, such as replacing incandescent lamps with LED lights, turning off electronic appliances when not in use, as well as regular maintenance of household appliances, can reduce energy consumption by 20-30% and reduce costs by up to 15-25% per month. In conclusion, energy savings at the household level not only have a positive impact on the household economy but also on environmental protection. The implications of this study show that with the support of government policies and energy providers, the adoption of energy-saving technologies in society can be accelerated, contributing to the national carbon emission reduction target. It is hoped that the results of the study will provide practical guidance for individuals and families to implement effective energy-saving measures, contribute to environmental protection, and improve household economic well-being.