Results Of Analysis Research Articles

Error Modeling and Accuracy Analysis of Parallel Robots for Spacecraft Docking Motion Simulation System

Background:: A large number of on-orbit docking dynamics experiments are conducted in the spacecraft docking motion simulation system with the development of Chinese space science and technology, and therefore, the requirement for high-precision parallel robots has increased. The pose accuracy of parallel robots is one of the most important problems in this application. Objective:: In order to evaluate the pose accuracy of parallel robots in advance, a comprehensive pose accuracy analysis method considering major error sources is presented in this paper, and the influence of major error sources on the pose accuracy is also investigated to summarize the statistics and propagation characteristics of the pose error. Methods:: The first-order error model for the parallel robot is established based on a generalized error model for each hydraulic cylinder and a sensitivity analysis method. Using the error model, a statistical approach to the parallel robot pose accuracy analysis is presented, and the influence of different parameter errors and different poses on the pose accuracy of the parallel robot is investigated. Sensitivity analysis is applied to evaluate the contribution of each parameter error to the position and orientation error of the parallel robot. An automated pose accuracy analysis program that computes and graphically displays the position and orientation error distributions and the sensitivity analysis results is developed. Results: The statistical analysis results of the influence of different parameter errors and different poses on pose accuracy are obtained by using the automated pose accuracy analysis program. The means of the position and orientation errors are close to zero. The standard deviations in the x and y directions are larger than those in the z direction, and these standard deviations are amplified with the increase of the parameter errors. For the given elevation, sensitivity analysis to various parameter errors is performed. It is found that the length error sensitivities of the hydraulic cylinders are less than one, and position error sensitivities of the hook joints A4, A5, and A6 are much greater than those of hook joints A1, A2 and A3. Conclusion:: The elemental error sources belong to one of two groups, i.e., those affecting the hydraulic cylinder length and those affecting the hook joints. The distributions of the position and orientation errors are consistent with statistics theories. The parallel robot is more sensitive to the errors affecting the hook joints than those affecting the hydraulic cylinder length. These will help the designers and users of the parallel robot understand the statistics and propagation characteristics of the pose error. Some recent patents on error modeling and kinematic calibration of parallel robots are also discussed in this article.

Systematic analysis of expression and prognostic significance for MCM family in head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSC) is a common malignant tumor in the world and has a poor prognosis. The family of minichromosome maintenance proteins (MCM) improves the stability of genome replication by inhibiting the rate of DNA replication in eukaryotic cells, thus, small changes in physiological MCM levels would increase the instability of gene replication and increase the incidence of tumor formation, most of which are significantly elevated in multiple cancers. However, the expression of different MCM families in HNSC and their prognostic value remain unclear. ONCOMINE and GEPIA databases were used to analyze the expression of MCMs in HNSC. The Kaplan-Meier plotter database was used to identify molecules with prognostic values. We collected 77 HNSC tissues and 50 normal tissues to validate the results of the bioinformatics analysis by immunohistochemical staining. The expression of MCM3, MCM5 and MCM6 in mRNA and protein levels were higher in HNSC. Moreover, the increased expression of MCM3, MCM5 and MCM6 in mRNA and protein levels predicted better prognosis of HNSC patients. Furthermore, multivariate analysis showed that high expressions of MCM3, MCM5 and MCM6 in protein level may be independent prognostic factors for HNSC patients. The results of this study indicated that MCM3, MCM5 and MCM6 play an important role in occurrence and development in HNSC and might be risk factors for the survival of HNSC patients.

Improving student higher order thinking skills using SynecticHOTS-oriented learning model

The achievement of students’ learning outcomes in physics lessons has a low tendency, this is due to various factors, one of which is higher-order thinking skills (HOTS) based learning that has not been fully implemented in the learning process and assessment. This study aimed to determine the differences in the Synectic-HOTS learning model in physics compared to conventional learning models. This study used a quasi-experimental study with a pre-test–post-test nonequivalent control group design. The instrument used in this study is a two-tier test question that contains 20 items of HOTS aspect. The prerequisite test showed that the data was not homogeneous, while the results of the data homogeneity test were stated to be homogeneous. Therefore, a non-parametric test was carried out using the Mann-Whitney U-test. Based on the results of the data analysis, the Asymp. Sig. (2-tailed) for the pre-test was 0.111 and the post-test was 0.001 (p=.000<05). The effect size calculation shows that the Synectic learning model is effective in the medium category. These results indicate that the application of the SynecticHOTS model significantly improves HOTS when compared to conventional learning models. This work can open up insights to teachers about alternative, creative, and effective learning models to improve higher-order thinking skills and student learning outcomes.

Fusarium pernambucanum Causing Peduncle Rot on Grape in Guangxi, China.

Grape (Vitis vinifera) is regarded as one of the most economically important fruit crops throughout the world and is widely cultivated in China. In March 2023, peduncle rot symptoms were observed on ripe grape (cv. Kyoho) of Guangxi Academy of Agricultural Sciences in Nanning, Guangxi Province (20°54' to 26°24' N, 104°26' to 112°04' E), causing severe shrink of infected grapes with incidence of 20 to 40%. Initially, a small portion of the grape peduncles turned from light brown to darker brown and gradually spread to the entire bunch of grape peduncles. Then the peduncles gradually dried up and became dark brown, resulting in necrosis and shedding of the fruits. Symptomatic peduncles were cut into small pieces (approximately 3 mm long), surface disinfected with 75% alcohol for 10 s, 1% NaOCl for 2 min followed by three washes in sterile distilled water and separately transferred to potato dextrose agar (PDA) plates. Forty-six Fusarium isolates were obtained from the seventy-five tissue pieces after 5 days of incubation at 25°C on PDA (average isolation frequency 61%). Based on the morphology, a representative isolate of Fusarium was selected for each of the three samples. Single spore isolates (PT1-1, PT3-1, and PT3-2) were selected for further study. The colonies produced abundant whitish to yellowish aerial mycelium on PDA after 7 days incubation at 25°C in the dark. Macroconidia cultured on carnation leaf agar (CLA) for 7 days were falcate, multiseptate, with a curved apical cell and foot-shaped basal cell, mostly 1-3-septate, measuring 21.3 ± 0.5 μm × 4.8 ± 0.1 μm, 24.3 ± 0.5 μm × 4.5 ± 0.1 μm, 21.9 ± 0.3 μm × 4.5 ± 0.1 μm (n=90) for PT1-1, PT3-1, and PT3-2, respectively. Microconidia were hyaline, fusoid or ovoid, 0- or 1-septate, measuring 10.5 ± 0.2 μm × 3.5 ± 0.1 μm, 10.4 ± 0.3 μm × 3.6 ± 0.1 μm, 10.0 ± 0.2 μm × 3.6 ± 0.1 μm (n=90) for PT1-1, PT3-1, and PT3-2, respectively. The internal transcribed spacer (ITS), translation elongation factor (TEF1), calmodulin (CAM) and partial RNA polymerase second largest subunit (RPB2) were amplified using primers ITS4/ITS1, EF1/EF2, CL1/CL2A, and 5F2/7cR, respectively (White et al. 1990; O'Donnell et al. 1998, 2000; Reeb et al. 2004; Liu et al. 1999). Sequences from the three isolates were deposited in GenBank (ITS: OR511756-OR511758; TEF1: OR535156-OR535158; CAM: OR535153-OR535155; RPB2: OR535159-OR535161). A maximum likelihood (ML) phylogenetic tree was constructed with RAxML version 8.2.10 based on the concatenated sequences (ITS, CAM, TEF1, RPB2). According to morphology and phylogenetic analysis, the isolates were identified as Fusarium pernambucanum (Santos et al. 2019). A pathogenicity test was performed with three isolates on twenty-four asymptomatic strings of grapes in a field in Nanning, Guangxi Province, China. On twelve strings of ripe grapes (cv. Kyoho), 3-mm-long wounds were made on the peduncle of each string of grapes with a sterile needle, followed by inoculation with conidial suspension (106spores/ml in 0.1% sterile Tween 20) by misting with an atomizer until runoff (Lorenz et al. 1995). Three isolates were separately inoculated onto three strings of grapes. Controls were inoculated with water containing 0.1% sterile Tween 20 under the same conditions. The same inoculation was applied to twelve strings of non-wound grapes. Plants were covered with polythene bags to maintain high humidity for 7 days. Typical dark brown lesions were observed on all inoculated peduncles with conidia. After 14 days, the necrotic lesions spread to the entire peduncles causing them to shrivel and die. No symptoms were observed on controls. Koch's postulates were completed by reisolating the fungus from the inoculated tissues. The results of morphological identification and multigene sequence analysis obtained by reisolation were consistent with original isolates. To our knowledge, this is the first report of F. pernambucanum causing peduncle rot on grape in China. These results will provide valuable information for prevention and management of peduncle rot on grape.

Instrument model to evaluate children-friendly school program at elementary school in Indonesia

This study aims to develop an instrument to evaluate Indonesia’s children-friendly school program (CFSP). This development research is then used to evaluate CFSP in Indonesia. Instrument development using the context, input, process, product (CIPP) approach and outcome evaluation. The population of this study was all students in the provinces of Riau and Yogyakarta. The research sample is of the students taken randomly from 108 schools that run CFSP. Data analysis used content validity, construct analysis, construct reliability, and descriptive statistics to evaluate the current CFSP. The content validity result shows that only 50 can be used of 56 of the developed items. The construct validity analysis result shows that all indicators obtained from theoretical exploration are valid and reliable. The model fit test shows that the instruments and data obtained from the respondents fit statistically. The results of the evaluation analysis show that the CFSP has been running well, but three indicators are still at a poor level and need to be improved so that the CFSP can run optimally. Indicators needing improvement are the completeness of documents and indicators of student participation, parental participation, community institutions, and the business world. This instrument became the new product to evaluate completely CFSP program because this instrument evaluates not only the process or implementation program but also every process until the program's outcome. Recommendations that need to be considered by stakeholders are to improve CFSP performance so that CFSP can maximally develop student character.

Global Publication Trends and Research Hotspots of the Immune System and Osteoporosis: A Bibliometric and Visualization Analysis from 2012 to 2022.

Osteoporosis (OP) is a systemic bone metabolism disorder in which the immune system and bone metabolism interact. The purpose of this study was to explore the research status, hot spots and trends regarding the influence of the immune system on OP and to provide a basis for research directions and applications in this field. We searched and collected literature about the immune system and OP published from 2012 to 2022 in the Web of Science Core Collection database. All the included studies were subjected to bibliometrics analysis using Hiplot Pro, VOSviewer and CiteSpace software to produce statistics and visual analyses of the literature output, countries, institutions, authors, keywords and journals. A total of 1201 papers were included, and the number of citations of these articles reached 31,776. The number of publications and citations on the immune system and OP has increased year by year. The top three countries with the greatest number of papers published were China, the United States of America (USA) and Italy. The two institutions with the largest number of papers published were Sichuan University and Soochow University, both located in China. De Martinis Massimo (Italy) and Ginaldi Lia (Italy) are prolific authors in this field. The representative academic journals are Osteoporosis International, Frontiers in Immunology, Journal of Bone and Mineral Research, PloS One and Bone. The results of the keyword cooccurrence analysis showed that the research topics in this field mainly focused on T cells, cytokines, signaling pathways, vitamin D, postmenopausal OP and immune diseases. The keyword burst results showed that zoledronic acid, chain fatty acids and gut microbiota are the frontiers and trends of future research on this topic. The influence of the immune system on OP has been widely studied, and the current research in this field focuses on the effect or mechanism of immune-related cytokines, signaling pathways and vitamin D on OP. Future research trends in this field should focus on the immune regulation mechanism and clinical transformation of zoledronic acid, chain fatty acids and the gut microbiota in OP.

Exploring the Molecular Mechanism of HongTeng Decoction against Inflammation based on Network Analysis and Experiments Validation.

HongTeng Decoction (HTD) is a traditional Chinese medicine that is widely used to treat bacterial infections and chronic inflammation. However, its pharmacological mechanism is not clear. Here, network pharmacology and experimental verification were applied to investigate the drug targets and potential mechanisms of HTD in inflammation treatment. The active ingredients of HTD were collected from the multi-source databases and clarified by Q Exactive Orbitrap analysis in the treatment of inflammation. Then, molecular docking technology was used to explore the binding ability of key active ingredients and targets in HTD. In vitro experiments, the inflammatory factors and MAPK signaling pathways are detected to verify the anti-inflammatory effect of HTD on the RAW264.7 cells. Finally, the anti-inflammatory effect of HTD was evaluated in LPS induced mice model. A total of 236 active compounds and 492 targets of HTD were obtained through database screening, and 954 potential targets of inflammation were identified. Finally, 164 possible targets of HTD acting on inflammation were obtained. The PPI analysis and KEGG enrichment analyses showed that the targets of HTD in inflammation were mostly related to the MAPK signaling pathway, the IL-17 signaling pathway, and the TNF signaling pathway. By integrating the results of the network analysis, the core targets of HTD in inflammation mainly include MAPK3, TNF, MMP9, IL6, EGFR, and NFKBIA. The molecular docking results indicated solid binding activity between MAPK3-naringenin and MAPK3-paeonol. It has been shown that HTD could inhibit the levels of inflammatory factors, IL6 and TNF-α, as well as the splenic index in the LPS-stimulated mice. Moreover, HTD could regulate protein expression levels of p-JNK1/2, and p-ERK1/2, which reflects the inhibitory effect of HTD on the MAPKS signaling pathway. Our study is expected to provide the pharmacological mechanisms by which HTD may be a promising anti-inflammatory drug for future clinical trials.

Analysis of the Indonesian Version of the Statistical Anxiety Scale (SAS) Instrument with a Psychometric Approach

This study aims to validate the psychometric approach (using the RASCH Model and Confirmatory Factor Analysis) on the Indonesian version of the Statistical Anxiety Scale (SAS) instrument. Sampling in this study used cluster random sampling with a total sample of 1651 which was divided into 3 regions of Indonesia (Western Indonesia, Central Indonesia and Eastern Indonesia) with details of 457 males (27.46%) and 1194 females (72.54%). The number of samples from the West Indonesia region was 922 people (55.71%), the Central Indonesia region was 605 people (36.76%), and the Eastern Indonesia region was 124 people (7.53%). The results of the factor analysis (CFA) show that the dimensions/elements of the SAS instrument meet the criteria which are then continued using the Rating Scale Model (RSM) approach. From the results of the tests performed, it shows that all items on the Statistical Anxiety Scale (SAS) instrument meet the specified criteria. Thus, the SAS instrument adopted in the Indonesian context can be used to measure students' statistical anxiety. The results of the research conducted became the initial capital to increase students' statistical anxiety considering that statistics courses are needed in completing studies, especially quantitative research.

Current Sharing Analysis and Evaluation of Parallel DC-Link Capacitors in Vehicle Motor Drive

In electric vehicle inverter systems, the DC-link capacitor bank becomes a critical obstacle to high power density due to its large volume. DC-link capacitor bank commonly adopts a multi-core parallel structure. The challenges exist in the current sharing of parallel capacitor cores because of the imbalance of stray parameters in the busbars. A current sharing analysis method aiming at thermal stress for capacitor banks in high-power-density inverters based on the characteristic matrix is proposed in this paper. First, the design basis of DC-link capacitors is given theoretically. Then, the complex coupling impedance model between multiple ports on capacitor busbars is mathematically derived by the matrix method, revealing the current resonance phenomenon of parallel capacitor cores affected by stray parameters. Next, three capacitor banks are evaluated by the proposed current sharing model. The influence of capacitor core arrangement and terminal position on current sharing is explored, which can guide capacitor banks’ high-power-density structure and heat dissipation design. Finally, an experimental platform is built with customized capacitor samples. The experimental results are consistent with the analysis results of the model, verifying the proposed method.

InVADo: Interactive Visual Analysis of Molecular Docking Data.

Molecular docking is a key technique in various fields like structural biology, medicinal chemistry, and biotechnology. It is widely used for virtual screening during drug discovery, computer-assisted drug design, and protein engineering. A general molecular docking process consists of the target and ligand selection, their preparation, and the docking process itself, followed by the evaluation of the results. However, the most commonly used docking software provides no or very basic evaluation possibilities. Scripting and external molecular viewers are often used, which are not designed for an efficient analysis of docking results. Therefore, we developed InVADo, a comprehensive interactive visual analysis tool for large docking data. It consists of multiple linked 2D and 3D views. It filters and spatially clusters the data, and enriches it with post-docking analysis results of protein-ligand interactions and functional groups, to enable well-founded decision-making. In an exemplary case study, domain experts confirmed that InVADo facilitates and accelerates the analysis workflow. They rated it as a convenient, comprehensive, and feature-rich tool, especially useful for virtual screening.

Task-Efficiency Oriented V2X Communications: Digital Twin Meets Mobile Edge Computing

Digital Twin (DT) has emerged as an enabling technology for the sixth generation (6G) vehicle-to-everything (V2X) communications. However, there are two crucial issues on leveraging DT for 6G V2X communications. First, what kind of DT capabilities can be combined with the 6G V2X networks? Second, how to transform the DT capabilities into the practical V2X network performance gain? Motivated to solve these problems, this article investigates the DT capabilities under a DT and mobile edge computing empowered 6G V2X network architecture. Specifically, three DT capabilities are presented: (1) Strengthening the human-machine interaction via driving behavior analysis; (2) Improving the traffic safety via knowledge-based vehicle fault diagnosis; (3) Analyzing the spatial-temporal traffic characteristics via data aggregation. Furthermore, we investigate two case studies for illustrating how the DT capabilities can be utilized to perform the task-efficiency oriented V2X network scheduling. In the first case study, the driver behavior analysis result is combined with the V2X channel scheduling strategy. In the second case study, a deep reinforcement learning based vehicle merging decision is devised in the DT domain. Then, a coalition based V2X channel scheduling strategy is proposed to help accomplish the vehicle merging decision task. Finally, we evaluate the performance of our proposed task-efficiency oriented V2X channel scheduling schemes and highlight the future research directions.

Analysis of Factors Affecting the Implementation of Sustainable Building Projects

Abstract: Sustainability concept can be defined as “meeting the needs of the present without compromising the needs of the future” [7]. Conventional buildings approximately consumes more than 30% of energy while utilising around 40% of resources while also simultaneously generating 40% of wastes and 35% of harmful green-house gases [8]. The sustainable building construction approach has the potential to make a significant contribution to sustainable development, especially considering the building industry’s considerable influence. Based on our literature assessment, we discovered that multiple research reveal a general lack of consistency across outcomes in different geographical locations regarding factors impacting the implementation of sustainable building projects. Therefore this study is based on the analysis of factors that impact the implementation of sustainable building projects and the effects of sustainable building projects on various critical factors. For the result of the research analysis, the Reliability analysis which was conducted based on Cronbach's Alpha Coefficient for the factors affecting the implementation of sustainable building projects were found to be 0.76658442 which can conclude that the reliability level of the questionnaires responses was good while based on Relative Importance Index (RII) analysis factors affecting the implementation of sustainable building projects were ranked, with material related factors being the most significant (RII 0.705) among other factors. Additionally, the impact of implementing sustainable building projects on different critical factors was determined, with RII analysis indicating that the most significant impact will occur in terms of economic benefits (RII 0.767). Overall, the study tried fulfilling all the objectives which were stated.

Manajemen Waktu Pada Pekerjaan Arsitektur Proyek Pembangunan Gedung Yayasan Pelita Ilmu Insani

The success or failure of a project can be influenced by the lack of planning of project activities, and the supervision carried out is ineffective and has an impact on the project running inefficiently. Then, it will result in delays and a decrease in the quality of work and have an impact on swelling the project budget. Project management is needed in order to manage projects starting from implementation to the end of a project. This research uses a case study on the Pelita Ilmu Foundation Building Construction Project, especially architectural work. This building is located on Jl. Rawa Kuda, Kp. Rawa Kuda RT/RW 004/002 Karangharum, Kedungwaringin District, Bekasi Regency, West Java 17540 [1]. The S curve is used to find out how long a project takes to complete. The aim of this research is to determine time efficiency in terms of the S Curve graph. The results of time management analysis using the S Curve on the graph showed that the realization of time delays was not in accordance with the plan.

Evaluating the effectiveness of coconut oil (Cocus nucifera) anti-bacterial benefits in caries prevention: A literature review

Background: Caries is the damage to the hard tooth tissue, which is enamel and dentine due to bacteria, with one of them being Streptococcus mutans. Caries is the most widespread non-infectious disease, with 2 billion people in the world suffering from permanent tooth caries and 514 million children suffering from primary tooth caries. The abundance of natural resources in Indonesia can be used as a way to prevent caries, such as using coconut oil which is known to have antibacterial benefits. Method: Analysis of several scientific findings and research with publication limitation over the last 5 years, recorded after January 1st, 2018. Results: Based on the results of analysis from several studies, coconut oil is proven to contain lauric acid which can be converted into monolaurin which is an active antibacterial agent. Monolaurin will cover the surface of the bacterial cell wall (peptidoglycan) and penetrate so that metabolism and cell permeability are disrupted and ultimately the cell lysis and cell death occurs. Studies show the effect of coconut oil on the incubation of bacteria that successfully inhibit colonization. Conclusion: It is proven that the content of coconut oil can effectively prevent the growth of the bacteria causing caries. Coconut oil has the potential to be an important step in preventing caries in the future.

Household waste management and the incidence of diarrhea in toddler

Diarrhea is a big problem in developing countries that can cause death, especially in toddlers, and cause extraordinary events. There are three risk factors for Diarrhea: environmental, social demographics, and behavior. Environmental factors include waste management. This research aims to determine the relationship between waste management and the incidence of Diarrhea in toddlers. The research design is quantitative analytical with a cross-sectional research design. The population in this study is the total number of children under five in mid-2023, totaling 1428. The sampling technique was proportional random sampling. Data collection method using interviews. Data were analyzed statistically using the chi-square test. The research results showed that the majority of waste management was poor: 68 (87.2%) experienced Diarrhea, and the majority of waste management did not experience Diarrhea well, 12 (66.7%). The results of the data analysis show that the p-value = 0.002, so there is a significant relationship between household waste management and the incidence of Diarrhea in toddlers. The community should always practice clean and healthy living (PHBS), such as good waste management, washing hands with running water, and using soap, especially before feeding toddlers.

Production and quality evaluation of bread from blend of biofortified cassava, wheat and dry date flours

In this study, quality evaluation was carried out on bread made from a blend of wheat, biofortified cassava, and dry date flours. Bread samples, designated A through E were produced using various flour blend ratios. Cassava flour samples were subjected to functional and anti-nutritional analysis while proximate, β-carotene, mineral, and sensory contents were evaluated on the bread samples. The result of analysis showed that in the water absorption capacity (WAC), oil absorption capacity (OAC), bulk density, foaming capacity, and foaming stability, sample BCF (biofortified cassava flour) had values of 1.98%, 2.55%, 0.72%, 1.98%, and 92.77%, respectively, while sample OCF (Ordinary cassava flour) had values of 2.0%, 1.55%, 0.76%, 7.31%, and 88.38%, respectively. The hydrogen cyanide (1.71 mg/100 g), tannins (0.16 mg/100 g), and oxalates (0.08 mg/100 g) found in BCF were significantly (p<0.05) higher than those of OCF, which were 2.04 mg/100 g, 0.12 mg/100 g, and 0.16 mg/100 g, respectively. The moisture contents ranged from 4.50-6.35%, crude protein from 10.0-11.29%, fat from 8.43-10.44%, ash from 1.77-3.65%, crude fiber from 2.0-3.48%, and carbohydrate from 67.73-70.16%. The moisture, crude protein, and carbohydrate contents decreased significantly (p<0.05) as the level of biofortified cassava flour substitution increased. There was a significant (p<0.05) increase in the level of β-carotene with increase in biofortified cassava flour substitution. The values of minerals were calcium (27.81–31.40 mg/g), potassium (43.64-52.63 mg/g), sodium (20.41–28.74 mg/g), iron (0.83–1.11 mg/g), zinc (0.60-0.91 mg/g), and copper (0.25-0.32 mg/g). Samples showed good sensory properties, although sample A was preferred.

Сравнительный анализ качества научных журналов технического университета и критерии их улучшения

The paper presents the results of a comparative analysis of calculating the indicators of scientific journals at Bryansk State Technical University (BSTU) in the fields of technology according to the nomenclature list of the Higher Attestation Commission of the Russian Federation based on the integral rating of the Science Index information and analytical system. 
 Analising publication activity and disagreements of the expert community in ranking journals in economic specialties is carried out. 
 The paper identifies the directions for further improving the quality of BSTU scientific journals in technical specialties, namely: Science-Intensive Technologies in Mechanical Engineering, Transport Engineering, Automation and Modelling in Design and Management and Ergodesign based on their expert assessments. It is shown that the priority criteria for expert evaluation are the following: academic contribution to the field of knowledge, the quality of articles and their compliance with the subject area of the journal, the policy of journals regarding the reviewing and geographical diversity of authors and members of the editorial board and editorial staff of the journal. 
 It is proposed that in addition to the integral Science Index rating, which is a point indicator, the relevance and novelty of published journal articles is associated with analysing altmerics and visualising data.

Numerical Analysis of the Effects of Fuel Injection Duration and Spray Angle on the Combustion Process in a Compression Ignition Engine

The changes in injection strategies for diesel engines have a major impact on the performance and pollutant emission characteristics of diesel engines. If injection strategies like injection duration, injection timing, injection pressure and spray angle are properly adjusted, combustion can be improved. The engine performance will increase and emissions will decrease with the combustion improvement. In this work, the influences of injection duration and spray angle on the combustion characteristics of single cylinder, natural aspirated, electronically controlled injection, compression ignition engine were investigated. In the first stage of the work, experiments were executed on a single cylinder CI engine using a Cussons P8160 DC dynamometer. After the experiments, the piston bowl geometry of the engine was modeled and numerical simulation studies were achieved at 7 different injection durations and 7 different spray angles using Converge CFD software. As a result of this study, it was observed that there is a good match between experimental and simulation data of heat release rate (HRR) and in-cylinder pressure. In-cylinder pressure decreased with longer injection duration. The highest max. in-cylinder pressure was roughly 101.0 bar at 4°CA injection duration and the lowest max. in-cylinder pressure was roughly 82.0 bar at 10°CA injection duration. When the HRR data were analyzed, it was seen that as the injection duration increased, the amount of heat released by combustion decreased. When examining the results of the spray angle analysis, it was concluded that there were not very large differences in-cylinder pressure and HRR data, and there was a difference of 1.4 bar between the highest and lowest max. in-cylinder pressure values. In addition, the highest in-cylinder pressure of approximately 86.7 bar was obtained at a spray angle of 77°. It was observed that the CA50 value was obtained at angles closer to the top dead center by increasing the spray angle and decreasing the injection duration. Moreover, the longest combustion durations were realized at 60° spray angle and 10°CA injection duration.

Analyze The Effect of Service Quality, The Role of Social Media Technology, and Company Reputation On Increasing Power Sales

The purpose of the research to identify effect of service quality, the role of social media technology, and company reputation on increasing power sales. This research is an explanatory research using hypothesis testing methods and quantitative approaches. The goal is to explain the causal relationship between one variable that affects another variable, namely independent variables in the form of service quality, the role of social media technology and company reputation on the dependent variable that is increased sales. Based on the discussion in the previous chapters and answering the problem formulation, research objectives and referring to the process and results of data analysis in this study, the following conclusions can be drawn: There is a positive and significant influence between service quality and increased electricity sales at PLN UP3 Ponorogo. There is a positive and significant influence between the role of social media technology and the increase in electricity sales at PLN UP3 Ponorogo. There is a positive and significant influence between the company's reputation and the increase in electricity sales at PLN UP3 Ponorogo

Effect of glass powder on mechanical properties and electromagnetic transmission properties of high alumina cement paste

The mechanical properties and electromagnetic transmission properties of high alumina cement (HAC) paste with different glass powder (GP) contents were investigated in this paper. The effects of hydration phase, unhydrated phase, GP phase and pore phase on the dielectric properties of HAC paste were quantitatively analyzed. The results show that the strength, fluidity and setting time of HAC paste decrease with the increase of GP replacement rate. The real part, imaginary part and loss angle tangent of dielectric constant decrease. The addition of GP leads to a reduction in reflectivity and absorptivity of electromagnetic waves in the paste, while increasing transmittivity.Furthermore, the real part of the dielectric constant of each phase in the HAC paste follows the order: hydration product phase > unhydrated phase > GP phase > pore phase. With an increase in GP content, the real part of the dielectric constant of the hydration product phase increases. Finally, based on the results of vector network analysis (VNA), mercury intrusion porosimetry (MIP) and scanning electron microscopy (SEM), the reasons for the changes of mechanical properties and electromagnetic properties of HAC paste under different GP replacement rates were analyzed from the aspects of phase composition, pore distribution and microstructure.