Key Quality Factors Research Articles

Socioeconomic Disparities, Service Equity, and Citizen Satisfaction: Cross‐National Evidence

AbstractThe literature on citizen satisfaction has predominantly focused on the key factors of service quality, with scant attention paid to the role of equity. Furthermore, these studies often rely on a single demographic identity within a single country, limiting their scope. This study aims to address these gaps by examining how outcome disparities based on socioeconomic status (SES) affect satisfaction with service providers across countries. Using a cross‐national education database, we employ three SES measures—education, income, and occupation—to test how disparities in student performance across SES groups affect parents' satisfaction with schools. Our findings show that parents in less professional occupations express lower satisfaction with schools when their children underperform compared with students whose parents hold more professional jobs. However, this relationship does not exist for education‐ or income‐based disparities. This study advances the understanding of how outcome disparities based on SES are associated with citizen satisfaction.

Comparative Study on Protein Composition and Foam Characteristics of Barley and Wheat Beer

Protein is an important component of beer, and its type, content and molecular weight directly affect the quality of beer, especially the foam quality of beer. Different brands of wheat beer and barley beer available in the market were used for this analysis. The differences in protein composition and foam performance between multi-sample barley and wheat beer were analyzed using sodium dodecyl sulfate-polyacrylamide gel electrophoresis and high-pressure size exclusion chromatography. Protein significantly influences beer quality, particularly its foam properties. Wheat beer (WB) has 9.52–84.10% more total protein content than barley beer (BB). The primary proteins in both beers are 6.9–20.1 kDa, with WB having 1.04 g/L more of this protein, 60.11% higher than that of BB. It is one of the main different proteins between WB and BB. WB also contains 66.67% more 20.1–32.4 kDa protein compared to BB. This is one of the main differences between WB and BB proteins. Both 6.9–20.1 kDa and 20.1–32.4 kDa proteins enhance beer viscosity and foam properties. Additionally, WB’s > 32.4 kDa protein content is 246.67% higher than BB’s, significantly improving beer hydrophobicity and foam performance. These protein differences are key factors in the superior foam quality of WB.

Optimization of Steaming Conditions for Bellflower Root (Platycodon grandiflorus) Using K-Means Clustering-Based Morphological Grading System

Bellflower roots were categorized into three clusters (class 0, class 1, and class 2) using K-means clustering based on their morphological factors: length (282.8 ± 29.53, 138.75 ± 26.8, and 209.89 ± 20.49 mm), thickness (16.25 ± 2.82, 16.77 ± 3.35, and 16.52 ± 3.05 mm), and body shape coefficient (5.80 ± 1.15, 12.73 ± 4.82, and 7.95 ± 1.71). Internal void formation, a key quality factor for bellflower root, was analyzed under pre-steaming conditions, identifying temperatures between 20 and 25 °C as optimal for storage. Within the clustered class, steaming for a prolonged duration increased the formation of internal voids and caused a decrease in normal stress values, total dissolved solids (TDS), and pectin content. Class 0, with larger and thicker roots, exhibited higher internal voids (57% void rate) due to uneven heat distribution and incomplete starch gelatinization. Class 2 roots demonstrated better structural integrity, with a void rate of 26% and a stress value of 48 kN/m2. These findings highlight the importance of morphological classification and optimal storage temperatures to improve the quality of steamed bellflower roots.

The impact of linked color imaging on adenoma detection rate in colonoscopy: a systematic review and meta-analysis.

Colorectal cancer prevention relies on surveillance colonoscopy, with the adenoma detection rate as a key factor in examination quality. Linked color imaging (LCI) enhances lesion contrast and improves the examination performance. This systematic review and meta-analysis aimed to evaluate the effect of LCI on adenoma detection rate in adults who underwent colonoscopy. We searched the Medline, PubMed, BIREME, LILACS, and Scientific Electronic Library Online databases for randomized controlled trials comparing the use of LCI versus white light (WL), published up to March 2023. The outcomes included lesion characteristics, number of adenomas per patient, and the additional polyp detection rate. Sixteen studies were included in the analysis, which showed that LCI was more accurate than WL in detecting adenomas, with an increased number of adenomas detected per patient. Although LCI performed well in terms of lesion size, morphology, and location, the subgroup analyses did not reveal any statistically significant differences between LCI and WL. The addition of LCI did not result in significant improvements in the detection of serrated lesions, and there were no differences in the withdrawal time between groups. LCI has been shown to be effective in detecting colonic lesions, improving the number of adenomas detected per patient and improving polyp detection rate without negatively affecting other quality criteria in colonoscopy.

Seed quality and relative lignan profiles of sesame prospected from northern Ghana

The sesame seed contains oil, protein, dietary fibre, and several minerals and it is also a store of lignans. Lignans are key selection factors for sesame quality due to their health, nutritive and market value. In Ghana sesame growers rely on wild or undocumented planting seeds which are of mixed colouration and its lignan content is ambiguous. The objective of this study was to segregate street sesame seeds into component colour fractions and subsequently evaluate the consistency of lignans in the seed fractions. Sesame seeds were collected from street vendors in northern Ghana and were segregated into seed fractions based on the pericarp colour. The viability of seed fractions stored at different temperatures (ambient, 5 °C, 0 °C) over time and lignan contents of single or bulk mixed seeds were verified. The collected seeds were of mixed colouration with approximately 4 % debris, 40 % white, 36 % cream, and 20 % dark coloured seeds by weight. The viability of the seeds was 67–85 % depending on pericarp colour. White seed fractions which had the highest proportion by weight had a significantly (p = 0.0275) higher viability (85 %) than the dark seeds which had the least viability (67 %). The seeds lost viability over time. However, seeds stored at 0 °C maintained a viability of 77 % at the fourth year. There were differences in the relative abundance of lignans for both bulk seeds and, single seeds with different pericarp colours. The most abundant occurring lignans in the seeds were sesamin, sesamolin and sesaminol and its downstream glucosides. The source of seed or pericarp colour was not predictive of seed viability or lignan composition. These findings provide baseline data on seed quality including an improved storability under cold environments. It also gives an insight into how mixed seeds of variable pericarp colours can have distinct characteristics. Although the mixed coloured seeds had no implications for varied quality including lignan content, the international market for sesame requires that seeds are of consistent colour.

Lived experiences of working-age polytrauma patients in Germany - A qualitative Analysis

BackgroundSurvivors of a major trauma experience a range of difficulties in relation to the reduction in physical, psychosocial, and cognitive functions, which can result in a reduced health-related quality of life. This study aims to explore lived experiences of major trauma survivors in the German healthcare system. MethodsSemi-structured exploratory interviews were performed with nine major trauma survivors (18–55 years; Injury Severity Score ≥16). For exploratory analyses, an artificial intelligence-based coding software was used. Further, results were clustered by using the International Classification of Functioning, Disability and Health framework (ICF). ResultsCommunication was one of the major topics concerning amongst others diverting opinions between different healthcare disciplines and a general lack of information. The participants showed a high demand for a contact person. Furthermore, social support was essential during recovery for those interviewed. Social network was not only important as emotional and physical support but also for overcoming of gaps in the healthcare system. The support by employers and colleagues seemed to be beneficial for our participants in relation to returning to work. Further, psychological consequences of trauma, and that mobility is a key factor for quality of life, self-efficacy and return to work were discussed. DiscussionThe qualitative analyses highlight several topics such as communication, burden of sickness, support systems that the participants mentioned as important along their journey through the German healthcare system during recovery. Through the ICF model the interplay of certain components that influenced the outcome of the major trauma survivors was visualized. ImplicationsThese results might offer a deepened understanding of modifiable components of a patient pathway in recovery process such as improvements of patient communication, provision of a contact person and others.

Microlearning technology based on video content: advantages, methodology and quality factors

Abstract The quality organization of the educational process using video-based microlearning technology can have several benefits for students. These include the ability to learn at their own pace and according to their individual needs, access from anywhere at any time, and focus on specific topics and tasks, which allows them to better absorb the learning material. Microlearning technology is being used effectively in business for employee training. However, the present study focused on the process of teaching using microlearning technology based on video content within the discipline Information Systems and Technologies in Economics. The experiment involved teachers and students of the National University of Life and Environmental Sciences of Ukraine (NULES). To evaluate the quality of video-based microlearning technology, a data coverage measurement and analysis model (SBM-DEA) was used. The input factors were indicators of the quality of the e-course and learning technology, and the output parameters were students’ academic performance, students’ and teachers’ evaluation of the e-course and learning technology. The results showed that out of 39 respondents, 29 confirmed the effectiveness of this technology, which is 75% of the total. This indicates that the introduction of microlearning technology into the educational process has improved learning outcomes and that this technology has been positively evaluated by both teachers and students. The results of the study are important for improving the quality of organization of the educational process using the technology of microlearning based on video content, identifying key factors of quality of microlearning based on video content.

Optimization of the use of Moringa oleifera in wastewater treatment by rotational central composite design

Textile effluents have a complex waste composition due to the various compounds present and their resistance to degradation. Given the harmful effects of these pollutants on aquatic ecosystems, adequate treatment before disposal is essential, usually involving chemical processes such as coagulation and flocculation. This study optimizes textile wastewater treatment using Moringa oleifera as a natural coagulant through Rotational Central Composite Design (RCCD), a type of Response Surface Methodology (RSM), aiming to improve color removal, a key factor for effluent quality. By exploring Moringa oleifera as a sustainable alternative, the research provides new insights into environmentally friendly coagulant use and treatment optimization. The treatment’s effectiveness depends on the coagulant dosage, the energy applied, and the pollutant concentration. Dye removal was evaluated using spectrophotometry, and the evaluated factors in the optimization process were slow and fast mixing times, coagulant dosage, and pollutant concentration. The study identified pollutant concentration and slow mixing time as the most influential factors in treatment effectiveness. The model achieved a coefficient of determination (R²) of 87.9 %, and maximum dye removal reached 80.2 % under optimal conditions: 30 mL of coagulant, 20 min of slow mixing, 2 min of fast mixing, and a pollutant concentration of 300 mg ∙ L−1. The average removal efficiency was 47.86 %, indicating that natural coagulants offer a viable alternative for textile effluent treatment.

Roles of science and research in vocational teacher preparation: A case study from a Norwegian VET teacher programme

Bridging vocational skills and scientific principles can pose challenges in vocational education and training (VET) teacher programmes. This study aims to enhance such programmes by exploring the potential of reflective practices among students and educators on the nature of science and research in VET contexts. Engaging VET teacher students with multidisciplinary backgrounds in a learning community, the study explores how to further develop research-based teacher training by ‘nudging’ student cooperation. A pedagogical course designed to appreciate students’ prior experiences aimed at preparing them to reflect upon their own professional development from a scientific perspective. Using five focus group interviews with 19 first-year students, the study identifies and explains four key factors for quality in VET teacher training: relevance of pedagogical theory, the value of a multidisciplinary approach, recognition of students’ VET backgrounds, and the importance of community in learning. The findings emphasise the significance of creating coherence between research, vocational skills, educational theory, and real-world applications to develop quality in VET teacher training. This study has implications for educators and policymakers, underlining the need for a comprehensive approach to research-based VET teacher competence that integrates personal, academic, and professional elements.

Live Dimension Detection During Machining of Workpiece using Smart Detection Set up on General-Purpose Lathe

In a manufacturing setting, the profile dimensions of the workpiece are key quality factors. Various automatic inspection approaches currently assess dimensions based on characteristics and variables, tool paths as OK or Not OK in CNC, and online inspection methods for other machines after manufacturing. However, continuous on-machine profile dimensions and simultaneous manufacturing were left to focus. An intelligent recognition system based on a laser lines sensor using a smart profile dimension detection algorithm (SPDA) communicates real-time measurement information to the operator. It plots the current status of the Workpiece, mapping linear distance by accurate laser reflection of the exact mid-surface line of the workpiece as profile data of a symmetric shaft. It compares the length-diameter obtained from longitudinal and lateral sensors with the master data provided. The algorithm implements Python libraries for displaying panels and organizing workpieces. The standard image changes color from red to green as it is relevant to the status. The predetermined order of manufacturing parts and gradient descent optimization feature sets benchmarks to display the status of the workpiece. The real-time live measurement is facilitated with an error of less than 10%, i.e., 0.1 mm, saving manufacturing time by 30%. It also eliminates the inspection stage, and no reduced job rejection is found.

Long-Term Monitoring and Analysis of Key Driving Factors in Environmental Quality: A Case Study of Fujian Province

Ecological environment quality reflects the overall condition and health of the environment. Analyzing the spatiotemporal dynamics and driving factors of ecological environment quality across large regions is crucial for environmental protection and policy-making. This study utilized the Google Earth Engine (GEE) platform to efficiently process large-scale remote sensing data and construct a multi-scale Remote Sensing Ecological Index (RSEI) based on Landsat and Sentinel data. This approach overcomes the limitations of traditional single-scale analyses, enabling a comprehensive assessment of ecological environment quality changes across provincial, municipal, and county levels in Fujian Province. Through the Mann–Kendall mutation test and Sen + Mann–Kendall trend analysis, the study identified significant change points in the RSEI for Fujian Province and revealed the temporal dynamics of ecological quality from 1987 to 2023. Additionally, Moran’s I statistic and Geodetector were employed to explore the spatial correlation and driving factors of ecological quality, with a particular focus on the complex interactions between natural factors. The results indicated that: (1) the integration of Landsat and Sentinel data significantly improved the accuracy of RSEI construction; (2) the RSEI showed a consistent upward trend across different scales, validating the effectiveness of the multi-scale analysis approach; (3) the ecological environment quality in Fujian Province experienced significant changes over the past 37 years, showing a trend of initial decline followed by recovery; (4) Moran’s I analysis demonstrated strong spatial clustering of ecological environment quality in Fujian Province, closely linked to human activities; and (5) the interaction between topography and natural factors had a significant impact on the spatial patterns of RSEI, especially in areas with complex terrain. This study not only provides new insights into the dynamic changes in ecological environment quality in Fujian Province over the past 37 years, but also offers a scientific basis for future environmental restoration and management strategies in coastal areas. By leveraging the efficient data processing capabilities of the GEE platform and constructing multi-scale RSEIs, this study significantly enhances the precision and depth of ecological quality assessment, providing robust technical support for long-term monitoring and policy-making in complex ecosystems.

Which predicts longevity better: Satisfaction with life or purpose in life?

Life satisfaction and purpose in life are fundamental yet separate ways to evaluate one's life. Both positively predict physical health and longevity, making them key factors for length and quality of life. However, we do not know which of them predicts mortality, when controlling for the influence of each other. Given that purpose in life involves a more active engagement with life and can help to cope with suffering, we hypothesize that purpose in life could be a more direct prospective predictor of longevity, overshadowing any effect of life satisfaction, when the two are pitted against each other as prospective predictors of longevity. To examine these hypotheses, we utilized Midlife in the U.S. survey, which is a 23-year follow-up study, (N = 5,993) and Cox proportional hazards models, repeating the analyses both without covariates and when controlling for various demographic and health-related variables. We show that both life satisfaction and purpose in life predict mortality when modeled separately. When life satisfaction, purpose in life and self-rated health were entered as simultaneous predictors of mortality, purpose in life remained a slightly more robust predictor of mortality, while life satisfaction became only marginally significant, suggesting that some of the factors that connect it to mortality are covered by the other two subjective evaluations. Overall, the results demonstrate that purpose in life is a robust predictor of mortality, and thus a key dimension of well-being to attend to as people age, while the predictive power of life satisfaction is more dependent on the choice of covariates. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sustainable pre-treatment of cellulose knitwear in digital pigment printing processes

PurposeIn the field of research on the application of digital printing to textile materials, there are still many research issues that arise from the very demanding interaction of digital printing technology and the complex, heterogeneous surface system of textile materials. This is precisely why the area of pre-treatment of textile materials is in need of research, and the purpose of this research was to establish the level of influence of physical and chemical activation of the textile surface with plasma and the possibility of improving the quality of the print and colour reproduction.Design/methodology/approachThe paper deals with the possibility of applying argon and oxygen cold low-pressure plasma in the processing of cellulose knitted fabrics, with the aim of improving the quality of the print and colour reproduction in digital pigment inkjet printing. The selected raw material samples were 100% raw cotton and lyocell. After plasma treatment, the samples were printed by digital ink jet printing with water-based pigment printing ink. An analysis of the micromorphological structure of untreated and plasma-treated samples before and after printing was carried out, and a comparative analysis of the colour of the printed elements was carried out depending on the pre-treatment.FindingsThe conducted research showed a positive influence of plasma pre-treatment on the coverage of the fibre surface with pigments, the uniformity of pigment distribution along the fibre surface and the uniformity of the distribution of the polymeric binder layer. This has a positive effect on colour reproduction. Also, certain improvements in colourfastness to washing were obtained.Research limitations/implicationsConsidering the complexity of the topic, although exhaustive, this research is not sufficient in itself, but opens up new questions and gives ideas for further research that must be carried out in this area.Practical implicationsAlso, this kind of research contributes to the possibility of adopting the idea of industrial plasma transformation, as an ecologically sustainable functionalisation of textiles, which has not yet been established.Originality/valueThis research is certainly a contribution to the establishment of acceptable textile pre-treatment methods in the field of digital printing, as one of the key quality factors in digital textile printing (DTP). Considering the still large number of obstacles and unanswered questions encountered in the field of digital printing on textiles, this kind of research is a strong contribution to the understanding of the fundamental mechanisms of the complex interaction between printing ink and textile.

THE EFFECT OF DIFFERENT LIME RATES ON THE YIELD AND QUALITY OF WINTER WHEAT UNDER MINERAL FERTILIZATION ON A SOD-PODZOLIC SOIL

Stable productivity, essential for winter wheat as a strategic crop, can only be achieved by meeting its growth and development requirements, especially nutrition. Soddy-podzolic soils, typically highly acidic in their natural state, are unsuitable for realizing winter wheat's full yield potential. Combined fertilizer and lime application is a key factor for grain yield and quality. While lime (CaCO3) is widely used to reclaim acidic soils, determining the optimal application rate, particularly in combination with mineral fertilizers, is crucial. This research investigated the effect of applying 0,5-2,0 lime norms based on soil hydrolytic acidity (Hh, mmol/100 g) combined with a moderate norm of N60P60K60 mineral fertilizers on winter wheat grain yield and quality. The soil had an initial pHKCl of 4.8 and a hydrolytic acidity of 2,3 mmol/100 g of soil. Field, laboratory, calculation, statistical, and generalization methods were employed. The experiment revealed the lowest grain yield in the control and N60P60K60 treatments without liming. Lime application at various rates with N60P60K60 increased grain yield by 0,74-0,89 t/ha compared to the control, with the 1,5 CaCO3 norm by Hh achieving the best results. The application of 2,0 norms of CaCO3 led to a statistical decrease in yield by 0,14 t/ha (p≤0,05) due to a reduction in available nutrient compounds in the soil. Liming also affected the main indicators of grain quality of winter wheat. An increase to the control was found for the weight of 1000 grains and protein content, while the actual weight of the grain decreased. As the most optimal treatment, regarding grain quality, was found out the option of 1,0 CaCO3 norm based on soil hydrolytic acidity in combination with N60P60K60, with the winter wheat grain yield of 3,54 t/ha and an increase in the protein content in it by 6,8% to the background

Quality factors of an English as a Medium of Instruction program associated with students’ satisfaction

This study examines the association between key quality factors of an English as a Medium of Instruction (EMI) program delivered at a Spanish university with the students’ satisfaction. The significant growth of demand and offer of bilingual and plurilingual studies in Higher Education in the last decade in many non-Anglo-Saxon countries, recommends conducting more evaluation research studies aimed at measuring quality and impact of EMI programs on students’ performance and satisfaction. To respond to that need, this ex-post facto research study included a sample of 131 self-selected students. The dependent variable student satisfaction was measured with a questionnaire (α=0.82 and a ω= 0.85) delivered through a computer-assisted web interviewing technique. Nonparametric regression analysis results confirm partially two out of the four hypotheses tested with an average of the mean estimate of 3.7 (on a 5 points scale) and the (only) average marginal significant effect of teachers teaching practices estimated to be 0.7, p < 0.01. The model (M6) with all predictions and controls explains 40.69% of the variation of the dependent variable. Finally, some conclusions and recommendations are drawn to increase future students’ satisfaction about this type of Higher Education.

An efficient measure for controlling pollution in the dye industry: Experimental and DFT investigations on direct determination of 3-(N,N-diethylamino)acetanilide

The rapid expansion of the dye industry has led to severe environmental pollution. The lack of real-time direct determination methods for dye intermediates is a key factor in high pollution emissions and low product quality in the continuous synthesis of dyes. This study proposes an accessible, fast, and precise approach for the clean and direct determination of 3-(N,N-Diethylamino)acetanilide (DEAA), a dye intermediate used in the synthesis of the azo dye Disperse Violet 93:1. For precise DEAA quantification, we developed a multi-pathlength and multi-wavelength coupled differential photometric approach based on the absorption spectra characteristics of DEAA at various concentrations and optical pathlengths. A relatively stable analytical sensitivity (0.5671–66.2630) and a large concentration range of 0.01–11% were obtained. Compared to the traditional single-optical pathlength and single-wavelength quantification, this new method possessed 119 times higher sensitivity. The maximum quantitative relative error decreased from 9.17% to 2.44%. The orbital contribution and distinctive peak electronic excitation mechanism of DEAA were uncovered using TD-DFT. By comparing the oscillator strength and peak position variations between the target DEAA and coexisting sulfuric acid, the unique spectral behavior of DEAA, such as its high sensitivity and selectivity, was explained. In addition to providing a reference for real-time industrial dye and intermediate monitoring, this study lays the methodological groundwork for future research. In light of the new method's short time consumption and non-secondary pollution benefits, we further believe it will be crucial in controlling the industrial synthesis process in order to improve product quality, resource conversion efficiency, and effectively prevent excessive pollution generation.

Synthesis and Performance Study of Photodetectors of Low-Dimensional Perovskites

This paper reviews the recent advancements in perovskite-structured photodetectors, highlighting the significance of their dimensional variations, which range from 0D quantum dots to 1D nanowires and microwires, and further to 2D nanostructures. It examines the various synthesis and modification techniques used to optimize these structures, along with their compositional variations. Additionally, the paper assesses the photodetection performance of these devices and explores their potential applications. Furthermore, a comprehensive summary of the key quality factors for photodetectors, the unique photoelectric properties of low-dimensional perovskites, and the methods for their synthesis is provided, offering a comprehensive overview of the current research landscape in this field.

Dynamic Response of Aerobic Denitrification Bacteria to Water Quality in Baiyangdian Lake Under Different Hydrological Scenarios

In order to explore the evolution law and driving mechanism of aerobic denitrification bacteria in Baiyangdian Lake under different hydrological scenarios, based on water quality survey and high-throughput sequencing technology, this study conducted a water quality factor analysis and aerobic denitrification bacteria α-diversity analysis, species composition, and network analysis. The results showed that the water body of Baiyangdian Lake was weakly alkaline, with the highest T and the lowest DO in the rainy season and the lowest T and the highest DO in the freezing season. There were significant differences between NH4+-N, NO2--N, NO3--N, TN, permanganate index, Fe, and Mn in Baiyangdian water under different hydrological scenarios (P < 0.01), and there was no significant difference in TP under different hydrological scenarios (P > 0.05). The largest category in water bodies under different hydrological scenarios was Proteobacteria, and the genera with a higher relative abundance were Magnetospirillum, Aeromonas, Pseudomonas, Azospirillum, and Bradyrhizobium. In addition, within the aerobic denitrifying bacteria community, there were significant differences in α-diversity (P < 0.001), with the highest abundance of microbial communities occurring during the freezing period, and the highest diversity and evenness of microbial communities during the dry and freezing periods. According to the RDA and Mantel analyses, the water quality driving factors of flora were different under different hydrological scenarios. The water quality driving factors of flora in the dry season were pH, NO3--N, NO2--N, and permanganate index; the driving factors of flora in the rainy season were pH, T, DO, NO2--N, and TP; the driving factors of flora in the normal season were NO2--N, Fe, and permanganate index; and the driving factors of flora in the freezing season were NO3--N and NONO2--N. Network analysis showed that there were temporal differences in species related to water quality driving factors. The genera related to water quality driving factors during the dry season were Magnetospirillum, Aeromonas, and Azoarcus, whereas the genera related to the rainy season were Magnetospirillum, Pseudomonas, and Aeromonas. The genera related to the normal season were Magnetospirillum, Pseudomonas, and Limnohabitans, and the genera related to the freezing period were Magnetospirillum, Azoarcus, and Pseudomonas. The relationship between key water quality factors (mainly T, DO, NO3--N, and permanganate index) and aerobic denitrification flora in different hydrological scenarios was gradually changing with time. In conclusion, the study on the evolution characteristics of aerobic denitrification bacteria in Baiyangdian Lake under different hydrological scenarios and the driving mechanism of environmental factors could provide a basis for understanding the evolution mechanism of aerobic denitrification bacteria in the natural environment.

Investigating Stagnant Air Conditions in Almaty: A WRF Modeling Approach

This study investigates stagnant atmospheric conditions in Almaty, Kazakhstan, a city nestled within a complex terrain. These conditions, characterized by weak local winds and inversion layers, trap pollutants within the city, particularly during winter. The Weather Research & Forecasting (WRF) model was employed to simulate atmospheric conditions using Local Climate Zone data. Verification of the model’s accuracy was achieved through comparisons with data from weather stations and the Landsat-9 satellite. The model successfully reproduced the observed daily temperature variations and weak winds during the testing period (13–23 January 2023). Comparisons with radiosonde data revealed good agreement for morning temperature profiles, while underestimating the complexity of the evening atmospheric structure. The analysis focused on key air quality factors, revealing cyclical patterns of ground-level and elevated inversions linked to mountain-valley circulation. The model effectively captured anabatic and katabatic flows. The study further examined the urban heat island (UHI) using a virtual rural method. The UHI exhibited daily variations in size and temperature, with heat transported by prevailing winds and katabatic flows. Statistical analysis of temperature and wind patterns under unfavorable synoptic situations revealed poor ventilation in Almaty. Data from three Januaries (2022/2023/2024) were used to create maps showing average daytime and nighttime air temperatures, wind speed, and frequency of calm winds.

Analysis Of Service Quality In Early Child Care Services Businesses Using Servqual And Quality Function Deployment

This research aims to analyse the quality of childcare services by considering local wisdom and traditional games and conducting a case study at OMAH BOCAH. The SERVQUAL method measures parents' perceptions of the quality of services provided. In contrast, the QFD method is used to design childcare programs that align with parents' needs and expectations, taking into account local wisdom and environmental values. Uniqueness of traditional games. This research uses a qualitative approach with data collection techniques through observation, interview, and documentation studies. The collected data was then analysed using qualitative analysis methods to identify key factors of service quality implemented at OMAH BOCAH. Furthermore, the QFD method designs a higher quality and sustainable childcare program by integrating local wisdom and traditional games. The results of this research will provide a deeper understanding of how local wisdom and traditional games can improve the quality of childcare services. Thus, this research can provide useful recommendations for other childcare service providers to integrate aspects of local wisdom and the uniqueness of traditional games to improve the quality of their services. Keywords: local wisdom, traditional games, Servqual method, QFD