Results Of Quality Evaluation Research Articles

Formulation and evaluation of perfume from locally available flowers

The abstract should summarized the content of the formulation of perfume from flowers such as Rose, Crysanthemum, Plumeris, jasmine essential oil has been conducted. Essential oil from flowers was obtained by solvent exctraction. Perfume extraction is the extraction of aromatic compounds from raw materials,using methods such as solvent extraction’s essential oils are isolated from flowers. Which are the liquid and strong aromatic components and are a high concentrated oils extracted from aromatic flowers. Exctraction is a separation of aromatically active portion of flowers using selective solvent. In this formulation we use solvent extraction process. A literature search was performed to find flowers describing botanical name, genus, species, kingdom etc. The information used is from databases pubMed,Science direct and Goggle scholer. Evaluation test were performed such as Hedonic test, Sensory test, Spot test, Skin irritancy test. Based on result of quality evaluation it can be concluded that all flowers essential oil can be used as perfumery agent in perfume formulation and stable during the storage in room temperature.

Utilization of Wet Grass Waste on Campus as Compost complying with Standards of Macro Nutrients

The results of routine grass cutting on campus can be used as raw material for compost. The aim of this research was to make compost from wet grass in the campus and to evaluate the quality of the resulting compost based on applicable standards. This research consisted of 3 stages, namely: preparation (making a compost house as a place to ferment wet grass into compost); implementation (growing bacteria by adding EM4 and molasses so that the fermentation process occurs) and evaluation (measuring the quality of the compost based on standards). The research results showed that after the compost house was built, fermentation was carried out with strict monitoring every 3 days for 3 weeks for temperature, humidity and pH. Furthermore, the results of the compost quality evaluation showed the macro nutrients N+P2O5+K2O = 5.08% (quality standard: >4%), C-organic = 26.56% (quality standard: >15%) and C/N = 18.97 (quality standard = 15-25). Furthermore, it was concluded that the macro nutrients had met the compost quality standards according to the Regulation of the Minister of Agriculture of the Republic of Indonesia Number 261/KPTS/SR.310/M/4/2019 of 2019 concerning minimum technical requirements for organic fertilizers, biological fertilizers and soil improvement.

Green Design Parameters in High Rise Building in Hot Humid Climate

Abstract: The term "green building" is used to describe buildings that are designed, constructed and operated, to have a minimum impact on the environment, both indoor and outdoor. Most discussions of green buildings refer to the importance of providing an acceptable, if Not exceptional, indoor environment for the building occupants. However, these discussions of indoor environment quality have Not included many specific recommendations or criteria for building design, construction, or operation. Building projects described as green building demonstrations often make reference to indoor air quality, but these references are often general and qualitative. In addition, rating systems that have been developed to assess the "greenness" of a building are based largely on design features and are Not particularly specific with respect to indoor air quality. This Project reviews the features of indoor air quality that are considered in green building discussions, demonstration projects, and rating systems. These green building features are discussed in terms of their completeness and specificity, and are compared to other guidance on building design, construction, and operation for good indoor air quality. A case study of indoor air quality performance in a green building is presented. This study includes adscription of the indoor air quality features of the building and the results of a short-term indoor air quality evaluation of the building involving ventilation and contaminant concentration measurements

Statistical study of BDS-2/BDS-3 satellite signal quality and positioning accuracy during weak and moderate geomagnetic storms

We statistically study 10 weak to moderate geomagnetic storms that occurred since the 25th solar activity cycle to evaluate the quality of satellite signal and positioning accuracy of Beidou Navigation Satellite System (BDS). The results show that the PAS (Percentage of Affected Satellites) index, which integrates three scenarios: satellite signal loss, satellite signal loss of lock, and carrier phase signal anomaly, appears significant anomaly changes during weak and moderate geomagnetic storms, and its changing trend is closely related to the geomagnetic storm Kp index and Dst index, the correlation coefficient is greater than 0.75. Based on the results of PAS signal quality evaluation, the effect of PAS on the positioning error of Precision Point Positioning (PPP) of BDS-2/BDS-3 systems is analyzed and verified in conjunction with PAS. The results show that there is a strong agreement between the time of PAS anomaly and the time of PPP positioning accuracy anomaly. The positioning error of PPP increases by 9 to 44 times compared to the quiet period. The statistical results indicate that the PAS index is useful for the signal quality evaluation of the Beidou Navigation Satellite System under different space weather conditions.

Realization of Dynamic Local Refresh on Liquid Crystal Display with Novel Partial Scan Gate Driver on Array

AbstractIn this paper, a novel partial scan Gate Driver on Array (GOA) architecture with gate and cascade scan separated output (GCSS‐GOA) is proposed. Combined with a newly designed timing controller (TCON) IC and IP, dynamic local refresh at any position and with different refresh rate at different area on liquid crystal display (LCD) panel are achieved. The driving schemes for dynamic local refresh and the display image quality evaluation results are also presented. For power consumption, it can be reduced by up to 50% respectively for GOA and data drivers in dynamic local refresh mode under 60 Hz benchmark refresh rate. This technology is also applicable to OLED, LED, e‐paper and other display products.

ANTIBACTERIAL TEST OINTMENT PATIKAN KEBO LEAF EXTRACT (Euphorbia hirta L.) AGAINST Staphylococcus epidermidis BACTERIA USING DIFFUSION METHOD

Staphylococcus epidermidis is a microbe that causes skin infections (acne). Infection can be overcome with the use of natural antibiotics. Previous studies have shown that patikan kebo plants with concentrations of 0,5%, 1%, 2%, 4%, 8%, have active antimicrobials. The preparation of starch kebo leaf extract ointment is made with 3 variations in concentration (5%, 10%, and 15%) with flavonoids, triterpenoids, alkaloids, and tannins. The purpose of this study was to determine whether the preparation of patikan kebo leaf extract ointment (Euphorbia hirta L.) has antibacterial activity against Staphylococcus epidermidis and determine the physical quality of the ointment preparation. The method used is experimental laboratory which is useful to determine the effect of patikan kebo leaf extract with concentrations of 5%, 10%, and 15% on Staphylococcus epidermidis bacteria in ointment preparations. Antibacterial tests are carried out using the sumuran diffusion method. Antibacterial test results with concentrations of 5%, 10%, and 15% respectively are 9,00; 10,90 ; 13,60 mm has an influence on the inhibitory zone in Staphylococcus epidermidis bacteria. The results of the physical quality test found that formula 3 with a concentration of 15% has the highest bacterial inhibitory influence and has the longest adhesion.Analysis of the results of the physical quality evaluation of the adhesion test of ointment preparations showed a significant difference. While the dispersion test and viscosity test showed no significant difference.

Unraveling patterns, causes, and nature-based remediation strategy for non-grain production on farmland in hilly regions

The surge in non-grain production on farmland (NGPF) poses significant threats to food security and land sustainability, particularly in hilly regions. However, there remains a lack of clarity on how to effectively balance grain and non-grain production in relation to land remediation. Using Wannian County as a case study, we investigate the evolution of this by leveraging high-precision land surveys and satellite imagery. Through the application of bootstrapped partial linear regression models, we identify key influencers behind each type of NGPF. In proposing land remediation solutions, we integrate the results of NGPF and land quality evaluations to identify mismatches between non-grain production and land attributes (i.e., topography, geology, soil, and land use). Our findings reveal a substantial growth in NGPF, expanding from 3838.72 ha to 5659.64 ha (2010–2020), and predominantly occurring on farmland with favorable natural conditions and connected locations such as proximity to roads, town centers, and industrial plants. Surprisingly, the basic farmland protection policy shows limited effectiveness in curbing NGPF, except for garden operations. We identify 1674 NGPF patches suitable for conversion to grain production and provide land remediation suggestions tailored to low-quality farmland with specific natural barriers, thus complementing the demand for regional non-grain production. This study thereby innovatively proposes nature-based land remediation strategies to address the non-grain production dilemma by tailoring NGPF and land quality, offering valuable insights for sustainable farmland management in China and beyond.

Effect of glazing on the indoor environment in a lift-up canteen

As one of the typical architectural features in hot and humid regions, the lift-up design can provide effective shading and sufficient pedestrian-level ventilation, which is favorable for building functions that require natural ventilation, such as the canteen. However, it is unknown whether the thermal environment and air quality of lift-up areas meets the indoor environment requirements along with other building features, like glazing. Thus, this paper presents environmental evaluation results of thermal sensation and air quality using a lift-up school canteen with glazing as the case study. The following two questions are answered in this paper: (1) whether the lift-up area alone meets environmental requirements for school canteen in the hot and humid region; (2) whether the thermal comfort and air quality are improved or worsened in the lift-up area when glazing is used on building façade. The analysis results revealed that lift-up canteens have good thermal comfort and air quality in hot and humid areas, but when glazing was added to the lift-up canteen facade, the thermal comfort and air quality were seriously reduced, in which the reduction of wind speed is the main factor. This paper can serve as a scientific basis for architects in sustainable building design.

Pengukuran Kualitas Aset Taman Plaza Rakyat di Lingkungan Kantor Pemerintahan Kota Cimahi

Taman Plaza Rakyat is one of the Green Open Spaces (RTH) managed by Dinas Perumahan dan Kawasan Pemukiman, Dinas Lingkungan Hidup, Dinas Pekerjaan Umum dan Penataan Ruang of Cimahi City. This park is designed as a public green open space that can be used for people in Cimahi City. Based on preliminary observations, there are several problems that exist in the park. The purpose are to determine the quality of asset Taman Plaza Rakyat based on 5 aspects among other are accessibility, attractiveness and appeal, comfort, activity and use, also safety and security (Public Space Quality Evaluation, Praliya and Garg 2019). The second is to find the solutions to solve the problems. The type of research is descriptive method with qualitative and quantitative approaches. Data collection techniques used are observation, interviews, questionnaires with 100 respondents, and documentation studies. The results of asset quality evaluation is enough but there are lack of facilities and amenities in the park. The park lack of facilities in five dimention among others are accessibility, attractiveness and appeal, comfort, activity and use, as well as safety and security. Due to the result of asset quality evaluation, Taman Plaza Rakyat need to be improved by asset development planning to increase the quality of the park

Power quality interval grading evaluation method of AC/DC distribution network considering source-load weighting and voltage coupling

In the context of the ‘dual carbon’ goal, the integration of renewable energy sources has a significant impact on distribution systems, while the substantial integration of DC loads and photovoltaic power has led to a progressive transition of conventional distribution networks towards hybrid AC-DC distribution networks in the field of electrical engineering. However, this shift has brought about more formidable power quality challenges within the power industry. To address these emerging power quality issues, we propose a novel power quality interval grading evaluation method for AC/DC distribution networks considering source-load weighting and voltage coupling. Firstly, the voltage acquisition data is meticulously decoupled to disentangle the interdependencies. Secondly, the power quality evaluation system of the AC/DC distribution network is established. Considering the influence of different access source-load types on each node, the subjective weight is determined by source load weighted two-tuple linguistic analytic hierarchy process (AHP), the objective weight is determined by the entropy weight method, and the idea of using game equilibrium algorithm to obtain comprehensive weight to balance the error of single weight on evaluation result is put forward. Then, the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) of interval number improvement is used to classify and evaluate the power quality index to make up for the shortcomings of the single-point sampling method. Finally, a more accurate and comprehensive power quality evaluation result is obtained based on a practical example.

Association between semen parameters and recurrent pregnancy loss: An umbrella review of meta-analyses.

Recurrent pregnancy loss (RPL) is a common clinical reproductive problem. With research advancements, an increasing number of studies have suggested that male factors play an important role in RPL. However, the evaluation results of male sperm quality in published meta-analyses are inconsistent. We aimed to summarize the evidence of the association between semen factors and RPL and evaluate the level and validity of the evidence. We searched PubMed, Cochrane Library, EMBASE, Web of Science, and Scopus databases for systematic reviews or meta-analyses to evaluate the association between male semen parameters and RPL. The methodological quality of the included meta-analyses was assessed, and data and evidence were re-synthesized and stratified using a random-effects model. Seven meta-analyses and nine semen parameters were included in the final analysis. The methodological quality of all publications was considered low or very low. There was highly suggestive evidence for the association between sperm DNA fragmentation (SDF), sperm progressive motility rate, and RPL (class II). The evidence level for the association between sperm concentration, normal sperm morphology, sperm deformity rate, total motility, and RPL was suggestive evidence (class III). The evidence level for the association between sperm volume and sperm count and RPL was weak (class IV). There was no significant association between sperm pH and RPL (class NS). Our results suggest level II evidence for the association between male SDF and RPL, while the evidence level for the association between conventional semen routine parameters and RPL was low (classes III and IV).

Evaluation Method of Teaching Quality of Foreign Language Teachers in Colleges and Universities Based on Decision Tree Algorithm

Abstract Teaching evaluation is an important part of the teaching process in colleges and universities and plays a very important role in the development of higher education and the improvement of education quality. Applying a decision tree algorithm to teaching evaluation can uncover the hidden intrinsic connection between teacher information and course quality evaluation results. This study combines the radar graph with the decision tree C4.5 algorithm to construct a foreign language teaching quality evaluation model, which explores the correlation between teacher information and radar graph attributes on teaching quality evaluation grades on the one hand and evaluates the predictive effect of the model on the other hand. The data mined by the radar chart-C4.5 evaluation model show that if the center of gravity of the radar chart is in the first quadrant, then the evaluation grade passes and has the highest support, which is 53.33%. If the radargram area is large, then the evaluation grade good has the highest confidence level of 77.27%. The evaluation result of the model is that the number of error samples of the prediction grade and the expert evaluation grade are 3 excellent, 5 good, 1 average, 4 qualified, and 1 poor, which proves that the performance of the radar map-C4.5 evaluation model is better.

Therapeutic drug monitoring guidelines in oncology: what do we know and how to move forward? Insights from a systematic review.

Compared with anti-infective drugs, immunosuppressants and other fields, the application of therapeutic drug monitoring (TDM) in oncology is somewhat limited. We aimed to provide a comprehensive understanding of TDM guidelines for antineoplastic drugs and to promote the development of individualized drug therapy in oncology. This study type is a systematic review. This study was performed and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement. Databases including PubMed, Embase, the official websites of TDM-related associations and Chinese databases were comprehensively searched up to March 2023. Two investigators independently screened the literature and extracted data. The methodological and reporting quality was evaluated using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) and the Reporting Items for Practice Guidelines in Healthcare (RIGHT), respectively. Recommendations and quality evaluation results were presented by visual plots. This study was registered in PROSPERO (No. CRD42022325661). A total of eight studies were included, with publication years ranging from 2014 to 2022. From the perspective of guideline development, two guidelines were developed using evidence-based methods. Among the included guidelines, four guidelines were for cytotoxic antineoplastic drugs, three for small molecule kinase inhibitors, and one for antineoplastic biosimilars. Currently available guidelines and clinical practice provided recommendations of individualized medication in oncology based on TDM, as well as influencing factors. With regard to methodological quality based on AGREE II, the average overall quality score was 55.21%. As for the reporting quality by RIGHT evaluation, the average reporting rate was 53.57%. From the perspective of current guidelines, TDM in oncology is now being expanded from cytotoxic antineoplastic drugs to newer targeted treatments. Whereas, the types of antineoplastic drugs involved are still small, and there is still room for quality improvement. Furthermore, the reflected gaps warrant future studies into the exposure-response relationships and population pharmacokinetics models.

Evaluation of mine water quality based on the PCA–PSO–BP model

Abstract To enhance the mining area's overall use of mine water in the arid area of Western China and mitigate the current water scarcity problem, this paper introduces an intelligent optimization algorithm and neural network for mine water quality evaluation and proposes a principal component analysis (PCA)–particle swarm optimization (PSO)–back propagation (BP) mine water quality evaluation model. Firstly, the model uses PCA to identify the primary factors affecting mine water quality, then enhances the optimal weights and thresholds of the BP neural network based on the PSO algorithm, and the PCA–PSO–BP evaluation model with nine input layers, nine hidden layers, and one output layer is created. In addition, using the Shicaocun Mine as an example, the results demonstrate that the PCA–PSO–BP model has accurate mine water quality evaluation results, and the prediction accuracy reached 86.8255%. This exemplifies the PSO method's superiority to the BP neural network improvement. This study not only offers a novel theoretical framework for assessing and forecasting water quality in mining regions, but it also sets the stage for the possible broad use of state-of-the-art neural networks and optimization algorithms in the coal mining industry.

Teaching Integration of Piano and Traditional Music Elements in Colleges and Universities Based on Network Flow Optimization

Abstract In this paper, from the basis of piano music theory, pitch and twelve equal temperaments are studied, and due to the characteristics of the piano’s construction, there are different timbres and harmonic structures. In order to realize the digitization of music signals for piano teaching, the collected analog signals are converted into digital signals by Fourier transform, the samples are inputted into the neural network model to get the output results, and the loss function based on Markov’s music language model in piano teaching is used to find the partial derivatives of the parameters to realize the maximization of the efficiency of the piano pitch and note recognition. According to the multi-task learning in neural networks and the envelope curve of notes, we construct the automatic music transcription model in piano teaching based on CNN-HMM and use the simulation experiment analysis to empirically analyze the piano teaching based on CNNHMM. The results show that the dual-channel audio results are improved by 2.68% in F1 value, 3.18% in accuracy and 2.61% in recall than the mono audio results. That is, dual-channel audio has richer information than mono audio, which enables the CNN-HNN network to learn richer features and thus improve the pitch and note recognition results. In this paper, the reliability of the teaching quality evaluation results of the CNN-HMM-based quantitative assessment model for facilitating the combination of electronic organ and piano teaching concepts ranges from 78.1% to 85.4%. This study provides guiding value for the development of digital piano teaching, which is of great significance for the innovative reform of piano teaching in colleges and universities.

QUALITY INSPECTION OF REMOTE SENSING FARMLAND RESOURCE MONITORING DATA ACHIEVEMENTS

Abstract. The article proposes a quality inspection process for the monitoring data of remote sensing arable farmland resources, including an overall review, detailed inspection, and sample external review. The necessary parameters for analysis are determined, and the detection methods for different inspection items are differentiated. Some inspection items that can be automatically checked by the program are distinguished, and a rule library is established to achieve batch automatic inspection of some inspection items. Then, the implementation methods for the remaining quality inspection items are studied, the common problems are identified, and the human-machine interaction inspection of the quality inspection items is improved. Finally, the monitoring data results of arable farmland resources in 161 counties were tested, and the results showed that the proposed technical route is feasible, and the quality evaluation result is objective.

Application of Weighted Comprehensive Evaluation Model in Teaching Quality Evaluation System of Computer Class Vocational Education

Abstract This paper firstly constructs the entropy weight-TOPSIS weighted comprehensive evaluation model, uses the entropy weight method to determine the indicator weights, and establishes a standardized evaluation matrix to evaluate the evaluation object through the TOPSIS model. Then, the evaluation model of teaching quality of vocational education, including teaching environment, curriculum construction, teaching content, implementation effect and teaching support level, was established, and the weight teaching evaluation of each index was made by using the entropy weight-TOPSIS model. Finally, the quality of teaching in the school was measured and analyzed, and the expected and perceived mean of different indicators were compared and calculated. The results show that the gap between the perceived teaching quality of each dimension of the indicators is basically controlled between [-1.0,-0.7], and the overall teaching quality evaluation result is -0.86, and the teaching quality needs to be improved urgently. This paper examines the teaching quality of vocational education, finds its problems, puts forward reform opinions, and promotes the development of the vocational education talent force in the direction of higher quality.

Bridge Construction Quality Evaluation Based on Combination Weighting Method- Technique for Order Preference by Similarity to an Ideal Solution Theory

The process of bridge construction is accompanied by many uncertainties. These uncertainties can have an impact on the quality of bridge construction and are thus directly related to the safe operation of the bridge. Therefore, it is very important to conduct bridge construction quality control evaluations for safe bridge construction and operation. In this paper, a three-tier bridge construction quality control evaluation system is established. This study uses a combination of subjective and objective assignment methods and TOPSIS theory to carry out an evaluation calculation of bridge construction quality. The CWM-TOPSIS theory was applied to the actual engineering calculation by taking the construction process of a mega bridge across the Yellow River as an example. After a series of calculations, the bridge construction quality evaluation results were obtained as level IV. This showed that a construction quality control method was needed for this bridge as soon as possible, and inspection and protection of the bridge should be started to avoid the emergence of bigger quality problems. Finally, the accuracy and applicability of the method proposed in this paper were proved by comparing and analyzing the evaluation results with the standard element theory.

Application Entropy Weight and TOPSIS Method in English Teaching Quality Evaluation of "Smart Classroom"

INTRODUCTION: Based on TOPSIS (Technological Ordering of Superiority and Inferiority) and entropy weight method, it aims to evaluate the quality of intelligent classroom English teaching. The brilliant classroom teaching model has attracted much attention for its highly interactive, personalized, and real-time feedback features; however, how to accurately evaluate the quality of intelligent classroom teaching remains a challenge. OBJECTIVES: To combine the TOPSIS and entropy weight methods in practical application and consider the index ordering and weight calculation comprehensively to arrive at the quality evaluation results of each brilliant classroom teaching. METHODS: The TOPSIS method is first used to rank multiple indicators of teaching quality to determine the optimal teaching quality. The TOPSIS method can consider the interrelationships between the hands and find the solution closest to the positive ideal solution and farthest away from the negative perfect solution by calculating each indicator's positive and negative perfect solutions. Then, the weight of each hand is calculated by combining the entropy weight method. The entropy weight method can consider the indicators' information and differences and measure the degree of their contribution to the evaluation results by calculating the entropy value of the hands. RESULTS: The results show that the method can comprehensively consider the correlation and weight of multiple indicators, provide teachers and educational administrators with accurate teaching quality evaluation and improvement suggestions, and thus promote the optimization and enhancement of innovative classroom teaching. CONCLUSION: By analyzing the actual smart classroom teaching data, the Author found that the method can effectively evaluate the quality of intelligent classroom teaching and provide valuable guidance for English teaching improvement.

Comprehensive evaluation of the underground space resources in Xianyang city

With the rapid development of urbanization and the sharp increase in population, urban land is becoming increasingly scarce. The efficient and reasonable development of the underground space is a crucial way to solve the problem of urban diseases, and comprehensive evaluation of urban underground space resources is an important basic task to achieve reasonable planning of the underground space. Adopting Xianyang city as an example, in this paper, we comprehensively evaluated the underground space resources in the main urban area and established evaluation models for the amount of resources available for development, development difficulty, potential value, and comprehensive quality of the underground space. Evaluation indicators, including urban environmental constraints, geological conditions, socioeconomic conditions and many other factors, were determined. With the use of the method of item-by-item elimination of restrictive elements and the analytic hierarchy process for determining the weight of each evaluation index, GIS technology was used to calculate and evaluate the underground space resources (0–30 m) in the main urban area of Xianyang city that could be reasonably developed, as well as the corresponding development difficulty and potential value, and we obtained the underground space that could be reasonably developed under different types of land use in the main urban area of Xianyang city on the basis of the resource quantity and comprehensive quality evaluation results. The results showed that in terms of quantity, the amount of underground space available for development in the main urban area of Xianyang city accounts for approximately 25.11% of the total development amount, and the underground space that could be developed and utilized is approximately 82.3 km2. The underground space resources that could be developed within a 30 m depth interval in the main urban area reached 2.465 billion m3, accounting for approximately 79.5% of the total shallow underground space resources, and the potential for development and utilization is enormous. In terms of the comprehensive quality, the highest comprehensive quality level of shallow underground resources is located in the core areas along Renmin Road, Weiyang Road, and Century Avenue, with an area of 21.52 km2, and the highest comprehensive quality level of subshallow underground resources is located along Renmin Road and Weiyang Road, with an area of 4.37 km2. The evaluation results could provide high reference value for urban development planning and underground space development and utilization in Xianyang.