bluuebunny/crossref_metadata_2025 huggingface dataset:
Doping modification in lead-free piezoelectric ceramics
Authors: Pang Qianyi , Han Lanruo , Yu Xiang
Published: July 2023

Piezoelectric ceramics are functional information ceramic materials that can convert mechanical and electrical energy into each other. They are widely used in high-tech fields, such as the electronics industry, machinery, and aerospace. Currently, Pb(ZrTi)O3 (PZT) piezoelectric materials are most commonly used, but the main component, PbO, is toxic and volatile during production and manufacturing, thus causing certain damage to human health and the environment. Therefore, research on green and environmentally friendly lead-free piezoelectric materials has been attracting much attention. This paper will therefore present two lead-free piezoelectric ceramics that have the potential to replace PZT-based lead-containing piezoelectric materials: Potassium Sodium Niobate (KNN)-based piezoelectric ceramics and Bismuth Sodium Titanate (BNT)-based lead-free piezoelectric ceramics. The piezoelectric constants of lead-free piezoelectric ceramics represented by systems such as KNN and BNT are now comparable to those of lead-containing piezoelectric ceramics and are gradually replacing traditional lead-based piezoelectric ceramics in fields such as ultrasonic atomization and hydroacoustic energy transfer.
Chemical Constitutions of Natural Musk and Research Progress of Synthetic Musk
Authors: Zhao Xueqi
Published: July 2023

Natural musk, which is released by adult male musk deer, has vital use in medicine, cosmetics, detergents, and other fields. This paper has mentioned that as a result of its predominant composition of macrocyclic ketones, pyridine, alcohols, fatty acids, polypeptides (PEP-tides), proteins, and other desired but uncommon substances, synthetic musk was created. The synthetic musk has been divided into four groups based on its chemical composition: nitrogen-containing musks (NMs), polycyclic musks (PMs), macrocyclic musks (MMs), and alicyclic musk or linear musk (AMs). The history of the creation of compounds with musk odor, the development of four different types of synthetic musk, and the negative impact of NMs, MMs, and PMs had all been mentioned in this article. Also, the creation and use of these different musks have all been discussed in this work. Synthetic musk still struggles with the cost of production and is unable to synthesize all of the components from genuine musk. Thus, there is still a lot of potential for the development of synthetic musk.
Information Encryption and Data Storage Security
Authors: Wu Hang
Published: July 2023

Nowadays, people increasingly rely on communication software to communicate. Users can use communication software for daily life information communication and involve work, transactions, or some private content. Moreover, time or money can be lost if that information is leaked. Therefore, ensuring communication security becomes a critical issue. Communication security generally involves two aspects: information transmission and data storage. Attackers do more than attack the transmitted information. It can also steal data that is already stored. This paper first introduces the encryption algorithm of information transmission. And then, this paper introduces secure data storage methods for information encryption.Rivest-Shamir-Adleman (RSA) and Advanced Encryption Standard (AES) algorithms are mature encryption algorithms currently used. Using RSA to encrypt the AES key in information transmission can make the information more secure and reliable. In addition, adding RSA algorithm-supported digital signature verification technology can ensure the authenticity and integrity of messages. Data storage is just as necessary as information encryption. Data needs to be stored in a database. Besides, this paper introduces how the security mechanism of the MySQL database controls user access to the database.
A Design of Bare Printed Circuit Board Defect Detection System Based on YOLOv8
Authors: Xiong Zhijiang
Published: July 2023

As electronic products develop towards miniaturization and digitization, printed circuit boards (PCBs) also develop towards high density and high precision. In the manufacturing process of PCBs, some PCBs with defects will be produced, and these defects often lead to circuit failure, so defect detection technology is an indispensable part of PCB manufacturing technology. Aiming at the problems of low efficiency and accuracy of traditional image recognition and classification technology, A PCB defect detection algorithm is proposed based on YOLOv8 in this paper. For these five PCB defects, the neural network in deep learning was used to identify and classify PCB defects. The prediction accuracy of YOLOv8 model after training is close to 97%, and it is compared with the accuracy of other algorithms to prove the effectiveness and feasibility of the model. In addition, the object detection image user interface is also established in this paper, which can realize image detection more conveniently.
AIGC Assisted Generation Craft Based on Dialogue Interface
Authors: Wang Yani , Dong Yuqiang
Published: July 2023

Design requires a new model to help creators continuously generate, iterate, and evaluate ideas, i.e. process reengineering based on the raw materials of generated content, as AIGC becomes increasingly involved in the creative generation of digital content. This paper derives the human-machine collaborative process of AIGC assisted generation based on dialogue interface from the entire process of creating the prototype of usable dialogue interface generated by AIGC and creates a global reference for AI-assisted tool interface design based on particularity.
Deep Learning in Healthcare
Authors: Hu Shengkun
Published: July 2023

This article aims to discuss and demonstrate deep learning techniques used in healthcare. After introducing the feasibility of deep learning in the medical field, the article discussed the opportunities and challenges of deep learning in healthcare from different perspectives. Then, the article showed the current implementations and applications of deep learning in the medical healthcare system. Finally, the article summarizes deep learning techniques and applications in healthcare.
A New Ensemble Model Based on Machine Learning Algorithms for the Spam-Filtering
Authors: Lin Zixuan
Published: July 2023

Due to the rapid increasement about the information in email, it is necessary to improve the technology of spam-filter. Based on the data on website, this study used python and Scikit-Learn library to process the data. Training the data by using Logistic Regression, Support Vector Machine, Naïve Bayes, Random Forest, and Decision Tree these five models, and calculate the evaluation measures for the rest test. From the results of the evaluation to infer the possible logical formula between these five models and calculate their evaluation measures. Comparing the final evaluation measures from the single model’s and the logical formula’s to find one possible logical formula that is better than the single model. The experimental results demonstrated that, each models have different efficiencies about the spam-filter, and the logical formula will improve some scores in evaluation measures, which means the logical formula using multiple models will improve the technology of spam-filter.
Research on the Composition Analysis and Identification of Ancient Glass Products
Authors: Li Xin , Zhang Zheng
Published: July 2023

Chinese glass has a history of thousands of years, and ancient glass is valuable material evidence of early cultural exchanges and trade between China and the West. With the continuous development of economy and technology, Chinese scholars have made deeper research on glass composition, but at present, most of the works in China focus on the chemical point of view of ancient glass composition, detection technology and cultural exchanges, and less on the statistical law of chemical composition, identification and classification. In this paper, the relationship between weathering, ornamentation, colour and type of glass surface is analyzed by correspondence analysis. Then the Mann-Whitney test is used to test the content of each chemical substance of different types of glass before and after weathering, and the statistical law of the chemical composition content of the surface of cultural relics samples with or without weathering is expounded. Then, the classification criteria of high-potassium glass and lead-barium glass were obtained by using a decision tree and random forest model, and the sub-classification method of four types of glass was given by using K-means clustering algorithm based on standardized data, and each type of glass was divided into two categories. Finally, the neural network is used to analyze and identify the unknown glass. It provides a reference for the further study and identification of the chemical composition of ancient glass.
A logistic regression-based model for classification and evaluation of chemical composition of silicate glass products
Authors: Zhang Yaozheng , Zhi Yang
Published: July 2023

Glass is one of the earliest human-made materials, and it has played an irreplaceable role in the development of human civilization. In ancient China, glass was an important commodity on the Silk Road, and it became a valuable witness to early trade and cultural exchanges between China and the West. Due to manufacturing processes, ancient glass is easily affected by burial environments and undergoes weathering. During the weathering process, there is a significant exchange of elements between the glass and the environment, causing changes in the proportions of the glass's chemical composition, which can affect the correct determination of the glass type. In this paper, we studied multiple sets of weathered and unweathered silicate glasses, extracted data on the chemical composition, color, and patterns of the sampling points, and first found a significant difference between the six chemical composition elements in the unweathered parts for the two silicate glass categories. Then, we introduced logistic coefficients and established a chemical composition evaluation model based on logistic regression to obtain the classification patterns of the two glass types. To further subdivide the glass into subcategories, we selected the top five chemical composition contents with the highest standard deviation for clustering under each of the two glass types and divided them into three subcategories. We obtained specific partitioning methods and results and analyzed the rationality of the results.
Prediction of chemical composition of cultural relics glass based on moving average algorithm of least square method
Authors: Wen Yuanjin
Published: July 2023

In order to explore the chemical composition of ancient cultural relics glass and understand the structure of ancient cultural relics glass, according to the basic information of glass cultural relics, the characteristics of glass are quantified, and the chi-square independence test is carried out on whether weathering and the properties of glass. Based on the cross table and chi-square test, it can be concluded that high potassium glass is generally not easy to weathering, while lead barium glass is more prone to weathering. A total of four categories were established to effectively reflect the statistical law of the chemical composition content of glass with different properties, and the principal component factors of each category were explored to obtain the chemical composition of each category. The scatter line diagram of the chemical composition of the unweathered sampling points was drawn. Based on the least square method, the ideal trend value of each chemical composition was calculated by using the moving average algorithm, and the prediction of various chemical compositions was completed. The chemical composition of the glass can be successfully predicted by the model constructed in this study. This method has certain technical support and theoretical support for the study of ancient glass, and provides some reference.
Temperature and key element content prediction based on BP neural network optimized by genetic algorithm
Authors: Zhu Ziheng , He Jialu , Xing Zebin
Published: July 2023

In the process of metal smelting, the precise control of temperature and key element content has important significance in improving the performance of metal smelting. This paper uses the values of 2048 light intensity to predict the flame temperature and the content of the key elements in the raw materials in real time.First, Feature extraction of optical information data based on polynomial fitting model is established to find the characteristics of optical information data, and then these features will be extracted.Then, establish the prediction model based on the BP neural network to probe the relationship between Kelvin temperature T and key element content C.
Modeling and Research on the preparation of C4 olefins based on ethanol coupling
Authors: Zhang Lizhong , Lu Ze , Qiao Jiangpeng , Pan Yuxuan , Li Jiaqi
Published: July 2023

C4 olefin is a chemical material widely used in chemical and pharmaceutical products, and ethanol is the main raw material for the production of C4 olefins. Exploring the process of using ethanol to produce C4 olefins has important practical significance and practical value. In the process of preparing C4 olefins by catalytic coupling of ethanol, the combination and temperature of catalysts have an important impact on the yield and conversion efficiency of C4 olefins. The effects of different catalyst combinations and temperatures on the yield and conversion efficiency of C4 olefins were modeled by function fitting and neural network algorithm. In this paper, the relationship between ethanol conversion, C4 olefin selectivity and temperature is sought through curve fitting method. Firstly, the correlation between ethanol conversion, C4 olefin selectivity and temperature under each group of catalyst combination is analyzed. It is found that the relationship between ethanol conversion and temperature is the best through exponential function curve fitting. When fitting the relationship between C4 olefin selectivity and temperature, for the catalyst combination with peak data, the double exponential function is selected for fitting, and the other combinations are fitted by exponential function. The catalyst combination was divided into four independent variables: total catalyst (mg), CO loading (wt%), Co / SiO2 and HAP loading ratio and ethanol concentration (ml / min). After normalization combined with temperature, the relationship between the five variables and ethanol conversion and C4 olefin selectivity was obtained through Spearman correlation analysis. Considering that the correlation of some single independent variables to dependent variables is not high, it is considered that the data provided is too dense, and there are few change data for reference, so it is impossible to analyze the real correlation normally. The response surface equation is fitted. When solving the response surface equation, the solution of each coefficient of the equation is obtained by multiple linear regression, so as to obtain the relationship between catalyst combination and temperature and ethanol conversion and C4 olefin selectivity.
Applications of Metal-Organic Frameworks in Methane Storage
Authors: Guo Kaiwang
Published: July 2023

Metal-organic frameworks (MOFs) are a type of porous materials that are receiving a lot of attention for their application potential in gas storage and separation. Methane storage, in particular, is an active area of research due to its significance as a vital component of natural gas, which is used for heating, transportation, and electricity generation. MOFs offer a promising solution to the challenge of efficiently storing and transporting methane because of their enormous surface area and variable pore sizes, which can facilitate efficient and reversible methane adsorption. The development of MOFs for methane storage has the potential to revolutionize the energy industry by enabling more efficient and cost-effective storage and transportation of natural gas, thereby reducing greenhouse gas emissions and promoting the use of cleaner energy sources. New MOF materials are being created and characterized as part of this field's research., and the study of their adsorption properties uses both experimental and computational techniques as well as the understanding the underlying mechanisms that govern methane adsorption in these materials. Key areas of investigation include measuring methane uptake and selectivity, as well as studying the thermodynamics and kinetics of the adsorption process.
Lithium-Ion Battery Recycling: Challenges and Opportunities
Authors: Sun Yucheng
Published: July 2023

The handling of lithium-ion batteries (LIBs) has emerged as a critical environmental concern as more and more people select electric automobiles and electric cars are seen on the road more regularly. If the spent LIBs are not recovered in time, they will cause serious damage both ecologically and socially harmful. Through recycling, the environmental impact of LIBs can be greatly reduced, and valuable materials can be recovered. In this research, the current situation of LIBs recycling methods, including pyrometallurgy, direct recycling methods and hydrometallurgy are reviewed. Pyrometallurgical recycling is a widely used method which can use little pretreatment. It uses high temperature reaction to reduce the and recover valuable metals. In the hydrometallurgy, chemical leaching of LIBs enables the extraction of several different metals, including lithium, cobalt, manganese, nickel, and aluminum. It is more efficient to refine and separate metals using hydrometallurgy. Direct recycling is a promising approach that recycles valuable metals directly rather than transforming them into raw materials through the application of physical and chemical processes. In conclusion, recycling lithium-ion batteries is a crucial industry that may help address environmental issues and offer a reliable source of valuable resources. The development of LIBs recycling has great prospects and can aid in the sustainable exploitation of resources.
Preface: 6th International Conference on Chemical Engineering and Advanced Materials (CEAM 2023)
Authors: Thackeray Willie , Li Jie
Published: July 2023

The 2023 6th International Conference on Chemical Engineering and Advanced Materials (CEAM 2023) was held in Chongqing, China during June 24-25, 2023. This conference aims to provide opportunities for all participants to exchange new innovative ideas and application experiences as well as to provide a platform where possible innovators can think of new ventures, generate contacts and networks for future collaboration.

The CEAM 2023 topics include chemical engineering, biological chemistry, biological pharmacy, food science, chemical materials, nano materials, materials processing engineering, and advanced materials applications. This conference brought together leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations, and to spark new ideas, with the aim of developing new projects and exploiting new technology. The conference has received more than 60 papers from all around the world and after a rigorous peer-review process, less than 50 papers were accepted.

On behalf of the conference organizers, we would like to thank the reviewers for their time and effort in reviewing the papers. Their feedbacks to the authors have been excellent and useful to ensure high quality papers for the conference. Our appreciation to all keynote speakers for sharing their thoughts and experiences with respect to various topics. Our sincere thanks also go to all attendees from all around the world for participating in the conference. Finally, we would like to thank the organizing committee members for their hard work, cooperation, and insights in ensuring the success of this conference.

Scientific Committee of CEAM 2023

Chongqing, China
Exploration of Land-Use Change and Drivers In Qixia City Based on Multi-Temporal Landsat8 Remote Sensing Image
Authors: Ma Yuyang
Published: July 2023

The research results on land use and cover change (LUCC) are constantly updated, which is of great significance to correctly handle the relationship between human activities and ecological environment. In this article, Landsat8 remote sensing images, DEM data and statistical yearbook data of Qixia city in Shandong province are selected in 2013, 2018 and 2021 to explore the changes in this city’s land use. Through supervised classification, land use dynamic degree (LUDD) and land use transfer matrix, LUCC has been analyzed, and through the CORREL and DEM slope analysis, the main driving force has been investigated. The results indicate that the area of orchards in Qixia city is showing an increasing trend and the area of farmland, water and residential land shows a decreasing trend. Single land use dynamic degree of industrial land is the largest. The main driving forces of the industrial land and the orchard area are the social economic factors, which are mainly manifested as the influence of the regional GDP, the gross product of primary and tertiary sectors as well as the gross value of agricultural produce. In addition, the population is what is causing changes in the amount of farmland and residential land, and the terrain slope also impact on the variation of land-use classification significantly.
Correlation Between Surface Temperature and Population Density In Xiong'an New Area Based on Nightlight Remote Sensing And Landsat8 Data
Authors: Xin Anran
Published: July 2023

Xiong'an New Area was established in 2017. With the development of the city, the urban surface temperature has also changed. Taking Xiong'an New Area as the study area, the distribution of population density in the study area was simulated based on the night light value of noctilucent remote sensing data, and the land surface temperature in the study area was retrieved by Landsat8 image. Additionally, the study area's land surface temperature and population density's temporal and spatial variation characteristics were examined. The influence before and after development was also extracted, and the correlation between them was also analyzed. According to the results, the surface temperature in the study area is rising, and it is characterized with a heat island effect. At the same time, there is a positive correlation between population density and temperature, and population density is one of the important factors that affect the urban temperature change. The development of this study is conducive to improving people's quality of life and the distribution of urbanization resources.
Application Direction and Prospect of Power To Gas in Methanation Process
Authors: Shen Sibei
Published: July 2023

The former comprises of a hydrogen comprehensive usage system, a 10MW electrolytic water hydrogen production system, and a 200MW wind farm. 17.52 million Nm3 of hydrogen may be produced annually by the project, some of which is used for industrial production to cut down on the use of fossil fuels in the industrial hydrogen production sector. A portion of it will be delivered to the hydrogen refueling station that supports the hydrogen-powered vehicle industry. The later wind farm, solar power plant, and electrolytic water hydrogen production system have respective capacities of 106 MW, 2 MW, and 4 MW. The hydrogen produced will be sent to the hydrogen refueling station via the pipeline network for use in fuel cell buses. This technology has low cost of large-scale transportation and is of great significance to mitigate CO2. Power-to-gas provides a new technical approach for fully utilizing renewable energy and improving natural gas supply capacity, with important engineering application value. This paper also describes the Power-to-gas energy storage technology. A variety of hydrocarbon fuels can be prepared by CO2 hydrogenation reaction, among which the catalyst technology for CO2 hydrogenation to methane is relatively mature, thus making the electricity-to-methane energy storage technology a practical potential electricity-to-hydrocarbon fuel energy storage technology. This paper comprehensively analyses the development status of the involved key technologies, including water electrolysis and CO2 methanation.
Research on Change in Use Of Land As Well As Driving Forces Within Xi'an Using Landsat Remote Sensing Images
Authors: Zhang Shurui
Published: July 2023

As studies regarding global environmental change and development have intensified on observation techniques on the ground, changes in use of land studies have become the main method for studying urban and regional development and change. Xi'an, the biggest city in northwest China, has experienced significant alternations in its urban landscape due to its economic development. This research examines the changes in use of land in Xi'an over three periods (2010, 2015, and 2020) by analyzing Landsat satellite images and via satellite-based classification methods, as well as geographic information system spatial assessment methods. The research identifies the spatial as well as temporal features of changes in use of land in Xi'an and their driving factors. The findings reveal a decline in land for agriculture region from 2010 to 2020. During this period, construction land has grown every year, primarily cutting down on land for agriculture. Moreover, the grassland, area for water, and non-used land have shown an overall fluctuating increase. For the period 2015-2020, a use of land Dynamic Index for Comprehensive use of land has been developed, which is much greater than for the 2010-2015 period, with the largest single use of land dynamics index being non-used land. The main drivers of change in land for construction region are construction output, gross industrial product, local fiscal expenditure, gross product, and gross secondary sector. In terms of land for agriculture, the gross primary sector, the number of rural residents, and the number of urban residents are the main drivers of change.
Ecological Damage Behind Ski Resorts and Feasible Governance Measures
Authors: Bao Chongchao
Published: July 2023

Construction of ski resorts involves machine-grading slopes, which alters the soil's physical, chemical, and biological qualities and has a substantial long-term ecological influence on the environment. To improve slope stability and reduce the risk of natural hazards and restore the biotic and abiotic conditions of the soil, it is important to establish and develop plant communities.  This study assesses changes in plant-soil characteristics and the long-term consequences of machine-grading and concurrent ski-run restoration to help create the best procedures for future ski-run development. Ski trails were surveyed for soil, vegetation and root characteristics and unaltered control sites away from the ski trails were evaluated. Plant cover on ski trails remained constant over time, but plant richness and variety significantly increased, reaching levels comparable to undisturbed vegetation. The plant mix transitioned to more semi-natural stages, exhibiting decreased planted plants and a corresponding rise in the cover of native species populating the area. Compared to unaffected locations, the root trait data showed significant differences between machine grading and vegetation’s short- and long-term effects. As a result of long-term management, the aggregate stability in the ski slopes remained lower as well as the organic content remained higher than in the undisturbed locations. Even though the soil still has a lower chemical and physical fertility than the quiet sites, the plant species composition indicates a satisfactory degree of renaturalization. The standard actions used allowed the ecosystem to recover in three decades partially.
Research on Light Pollution Risk Level in Different Regions-- Hangzhou As An Example
Authors: Wang Guanqiao , Lin Bohang , Zhou Heng
Published: July 2023

When human beings enjoy the prosperity of the city, it is difficult to escape the ubiquitous light pollution. In order to develop a widely applicable metric to determine the level of light pollution risk, the article establishes a light pollution risk level identification model. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is adopted for comprehensive evaluation of 4 types of light pollution. In order to improve the weight assignment process of TOPSIS, the entropy weight method (EWM) is used. Finally, the article conducts K-Means clustering algorithm to grade the risk level of different locations. The proportion of regions of high risk, medium risk and low risk are 28.57%, 42.86% and 28.57% respectively.
Study of Light Pollution Risk Measurement Based on GIS And EWM-AHP
Authors: Sun Peijie
Published: July 2023

Light pollution has serious negative impacts on all aspects of human health and biological circadian rhythms. To gain insight into the determinants of light pollution risk and to establish a widely applicable metric to accurately assess the light pollution risk level of an area, an evaluation model of light pollution risk level is developed in this paper. In terms of data acquisition, this paper uses ArcGIS to obtain 12 impact evaluation factors of light pollution risk level. In terms of model building, the metrics of each influencing factor were selected during the process of exploring each influencing factor and the mathematical model of light pollution risk level, and the entropy weight method-hierarchical analysis method (EWM-AHP) combined weight calculation method was used, and finally a model based on logical relationships was established to bring in the data to get the light pollution risk level of the area.
The application of molecular dynamic simulations
Authors: Xu Bingyan
Published: July 2023

Molecular dynamic(MD) simulations have been developed into a mature tool for researchers and have had a huge impact on the aspects of drug discovery, molecular biology, and prediction of specific structures and related functions of macromolecules in recent years. The aim of this article is to provide some essential knowledge about the theories and applications of this useful technology. This introduction to molecular dynamics starts from the definition of some basic concepts, including the molecular mechanics force fields and how they are applied to the motion systems of molecular dynamics simulations and their developments recently. Also, the outstanding strengths and limitations of the MD simulations are discussed, as are some possible solutions to them. This article shows the wide applications of MD simulations, including drug discovery, prediction of structure, and allostery. Due to the growing power of computational calculations and its important role in simulating the biological process between receptors and ligands like allosteric binding sites, MD simulations are thought to be more and more important in the near future.
Nursing care and health promotion competencies in cardiometabolic diseases: A scoping review
Authors: Cavalcante Francisco Marcelo Leandro , Macedo Thamires Sales , Cavalcanti Marianna Carvalho e Souza Leão , Neto Nelson Miguel Galindo , Frota Natasha Marques , Caetano Joselany Áfio , Barros Lívia Moreira
Published: July 2023

Objective: The aim was to map, in the scientific literature, nursing care and health promotion competencies in cardiometabolic diseases in the light of the Galway Consensus.Methods: This is a scoping review carried out in accordance with the JBI recommendations, from November 2021 to January 2022, in five databases. The studies were analyzed according to the Galway Consensus competency domains: catalysing change, leadership, assessment, planning, implementation, evaluation, advocacy and partnerships.Results: A total of 85 studies were included in the review, and existing scientific production points out that nurses carry out comprehensive actions, which involve educational interventions, follow-up of nursing at home and at the health institution for individuals/families, health service management and partnership articulation to guarantee longitudinal, comprehensive, qualified and network-integrated care. The most highlighted domain was catalysing change, followed by assessment, planning, implementation, partnerships, advocacy and evaluation. Care such as health education, guidance on healthy eating habits, physical activity, weight reduction, smoking cessation and foot care/shoe use stood out, in addition to guidance on drug treatment, counseling, care/support for the family, home visits, follow-up by telephone and referral to a nutritionist and other professionals.Conclusions: It is necessary to strengthen competencies such as leadership and health advocacy in health promoting nurses, considering that few studies related to such themes were identified.
Efecto comparativo de la actividad antioxidante del Ácido Gálico y diferentes Alquilgalatos
Authors:   Laboratorio de Análisis de Medicamentos, Facultad de Farmacia, Universidad Central de Venezuela, Caracas, Venezuela, Rodríguez Lyng Mei
Published: July 2023

Los compuestos polifenólicos poseen actividad antioxidante, por lo que son sustancias con la capacidad de proteger a las células del estrés oxidativo. En este trabajo se evaluó el efecto antioxidante de ácido gálico (AG) y los alquilgalatos: metil galato (MG) y etilgalato (EG) por 3 métodos diferentes, a saber: óxido nítrico, DPPH• y peróxido de hidrógeno. Con el radical de óxido nítrico se obtuvo que AG mostró mayor efecto antioxidante, seguido por el MG y EG, con valores de IC50 31,303 µM, 38,846 µM, 58,308 µM, respectivamente. Con una diferencia estadísticamente significativa entre el AG y EG, con valor de p<0,05. Con DPPH• se observó que EG obtuvo mayor actividad antioxidante seguido MG, PG y AG, con valores de IC50 7,687µM, 14,963 µM, 16,529 µM, 20,698µM, respectivamente. Se observó una diferencia significativa entre MG y AG con p˂ 0,05 y entre EG y AG con un p˂0,001. Con el peróxido de hidrógeno se encontró que el compuesto EG presenta menor actividad antioxidante seguido por AG y MG, con valores de IC50 218,67 µM, 108,53 µM y 86,01 µM, respectivamente. Presentando una diferencia significativa entre el EG y AG, con p˂ 0,05. Los resultados sugieren que AG y sus derivados podrían funcionar como una fuente de antioxidantes para fines terapéuticos y nutricionales.
Análise das tendências do mercado de chá no Brasil
Authors: Sanches Fernandes Ana Carolina , Francisco de Araujo Fábio , Silva Monteiro Renato Augusto da
Published: July 2023

O chá é uma bebida milenar, que vem sendo incorporada de forma cada vez mais expressiva nas mais distintas culturas e ocasiões de consumo, consagrando-se como a segunda bebida mais consumida no mundo. Contudo, no Brasil, ainda são escassas as pesquisas científicas que se dedicam a compreender questões mercadológicas e as tendências envolvidas nas práticas de consumo da bebida. Sendo assim, o objetivo deste estudo é analisar de que forma as principais tendências que permeiam o mercado brasileiro de chá são implementadas pela maior rede de chás gourmet do país, a Tea Shop. Este estudo se caracteriza como uma pesquisa exploratória de abordagem qualitativa, sendo empregado o método de estudo de caso com múltiplas fontes de coleta de evidências, a saber: análise documental, artefatos físicos, observação direta e entrevistas em profundidade com o diretor executivo da empresa no Brasil e os vendedores dos pontos de venda visitados. Lançou-se mão da triangulação de dados aliada à análise de conteúdo para o tratamento do material coletado, tendo sido revelada a aproximação com o cliente como um dos principais meios para a aplicação das estratégias da empresa, assim como a oferta de experiências sensoriais diferenciadas e a manutenção do caráter exclusivo dos produtos, que possuem a qualidade como principal atrativo. Iniciativas que aliam personalização, inovação e conveniência também foram identificadas como um meio expressivo de adequação às demandas do mercado, cujo apresenta o desenvolvimento de sabores exóticos e locais aliados à prática de ações sustentáveis como oportunidades.
Determination of Physiological, Biochemical and Anti-oxidative Status in Type 1 Diabetes Mellitus Patients
Authors: Arsalan Hafiz Muhammad , Kousar Gulnaz , Akylbek Amanbekovich Amanbekov , Ashfaq Munib
Published: July 2023

Type 1 Diabetes Mellitus (T1DM) disorganization of glucose equilibrium distinguishes by autoimmune disruption of the insulin producing pancreatic β-cell that constantly leads to insulin scarcity and resulting hyperglycemia Objective: To determine the physiological, biochemical, and anti-oxidant status in Type 1 Diabetes Mellitus Patients. Methods: It is a comparative study. 60 diabetic patients and 50 Samples of healthy individuals were taken from Nawaz Sharif Hospital. Blood samples (5.0 ml) were obtained and centrifuged at 4000 rpm for 10 minutes to separate the serum. Glutathione (GSH), Catalase (CAT), Superoxide Dismutase (SOD), Malondialdehyde (MDA), Nitric oxide (NO), micronutrients (Vitamin A, Vitamin C and Vitamin E) and Electrolytes was determined. Results: MDA level is progressively higher in T1DM (14.01±0.06) as compared to control group (1.27±0.21) (P- Value 0.000). GSH status is notably reduced in diabetic patients (0.15±.05) as compared to normal (6.24±0.33). Comparable anti-oxidant catalase is reduced (2.82±.04) in affected individuals as compared to normal individuals 4.19±1.09. SOD level was remarkably marked up to (13.52±3.21) in susceptible persons as compared to normal (2.15±0.23).  Vitamin A level was markedly reduced to (1.62±0.26) in patients as compared to healthy individuals (7.18±0.33). Conclusions: T1DM patients particularly showed reduced amounts and competency of antioxidant protections due to elevated consumption of specific anti-oxidant components such as low level of intracellular glutathione and Catalase and primarily low levels of vitamin A, vitamin E and vitamin C and exalted level of MDA, SOD and NO.
THE INFLUENCE OF WORKLOAD AND ADAPTATION ABILITY ON EMPLOYEE PERFORMANCE THROUGH SATISFACTION WORK AT PT. BANK OF SUMUT REGIONAL 1 MEDAN
Authors: Dwi Nurul Aisyah  , Prihatin Lumbanraja  , Parapat Gultom
Published: July 2023

This study aims to analyze how workload, adaptability and job satisfaction can affect employee performance. The type of research used in this research is quantitative research. The population in this study were employees of PT Bank Sumut Regional 1 Medan with samples taken in this study were 170 respondents. The data used are primary data and secondary data obtained through a list of statements and documentation studies. The data analysis technique uses structural equation modeling (SEM) with the Smart PLS version 3.0 analysis tool. The results of the research directly show that workload has a positive and significant effect on employee performance, adaptability has a positive and significant effect on employee performance, workload has a negative and insignificant effect on job satisfaction, adaptability has a positive and significant effect on job satisfaction, and job satisfaction has a positive and significant effect on employee performance. Then the test is carried out indirectly resulting that the workload has a negative and insignificant effect on employee performance through job satisfaction and adaptability has a positive and significant effect on employee performance through job satisfaction.
ANALYSIS OF THE COST OF HARVEST PREMIUM FOR PALM OIL PLANTATIONS PT. SURYA PANEN SUBUR. 2 IN AFDELING BRAVO
Authors: Widia Citra  , Yoga Nugroho
Published: July 2023

PT Surya Panen Subur 2. Is one of the oil palm companies that cultivates fresh fruit bunches of FFB which are processed into CPO (Crude Palm Oil) which has a land area of ​​5,080.00 Ha. Which consists of several Afdeling one of which is Afdeling Bravo. The purpose of the harvest premium cost analysis is to explain harvesting activities,explaining harvest planning, as well as calculating and analyzing the cost of oil palm harvester premiums in Afdeling Bravo. The analytical method used is quantitative analysis and qualitative analysis based on results and discussion. Harvesting activities consist of daily harvest plans for cutting fresh fruit bunches, harvesting process, harvest premium system, harvest cost analysis, premium cost analysis, total premium cost and harvest income. The planned production target in August is1,531,960 kg and the total production after planning is 1,531,960 kg and the costs incurred by the company are Rp. 151,427,158-, withthe total income of harvesters in the Bravo section is Rp. 154,655.65,-
The Effect of Financial Compensation and Conflict on The Performance of Employees of The Loading and Unloading Warehouse at PT. Cahaya Indah Sangsurya in Pekanbaru
Authors: Rudi Alhempi R. , Zain Irsyadi , Ardan Mardan Jhonni , Medina Dzikra Faira
Published: July 2023

The purpose of this study was to determine the effect of financial compensation and conflict on the performance of the loading and unloading warehouse employees at PT Cahaya Indah Sangsurya in Pekanbaru. The population in this study were all employees of the loading and unloading warehouse who worked at PT Cahaya Indah Sangsurya Pekanbaru totaling 42 (forty-two) respondents. In this study, because the population was small (limited), it was not possible to use a sample, so the researchers took the same number of samples as the population or called a census, namely all loading and unloading employees at PT Cahaya Indah Sangsurya Pekanbaru totaling 42 (four two) respondents. The power-gathering method used in this research is field research, which is carried out by conducting direct visits to the institutions that are the object of obtaining primary and secondary data. Based on the results obtained, it can be concluded that financial compensation and work conflict affect the performance of employees at PT Cahaya Indah Sangsurya Pekanbaru. The better the value of financial compensation and the lower the value of work conflict, the higher the value of employee performance.
Profitability Ratio Analysis to Measure Financial Performance at PT. Bank Sulselbar Makassar Main Branch
Authors: Kanna Haeruni Rezky , Ruma Zainal , Anwar  , Sahabuddin Romansyah , Nurman
Published: July 2023

Financial performance plays an important role as a description of the company's ability to manage existing resources. Profitability ratios can be used as a tool to measure the company's financial performance in determining the company's efficiency in managing assets to obtain the maximum level of profit. This study aims to determine the financial performance of PT Bank Sulselbar Makassar Main Branch in the 2018-2022 period. The variables of this study are profitability ratios and financial performance. The population and sample of this study were financial statements in the form of balance sheets and profit and loss from PT Bank Sulselbar Makassar Main Branch in 2018-2022. Data collection was carried out using documentation techniques. Data analysis was carried out using profitability ratios with the two pont system approach. The results of this study indicate that the ROA ratio level of PT Bank Sulselbar Makassar Main Branch for the period 2018-2022 is classified as very healthy and the ROE ratio level of PT Bank Sulselbar Makassar Main Branch for the period 2018-2022 is classified as healthy. This is influenced by fluctuations in net income.
How Evaluation Expert’s Teams of Pubmed Central (PMC) and SCOPUS Indexed Databases Making Quality Assessment of the Journals – a Case of International Journal on Biomedicine and Healthcare (IJBH) Journal
Authors: Masic Izet
Published: July 2023

Background: Scientific researchers in the field of biomedicine have the role to interact through published articles in the scientific journal or presentations at scientific and professional conferences because on this way they can affect to the practices that can make people healthier and more satisfied with outcomes of health care systems. For this reason, scientists are encouraged, especially young ones, that after complete the project and finalyze their research investigation to publish scientific work outcomes in a professional and scientific journals. Objective: The aim of this article is to present the current tools available in scientometry for the evaluation of scientific validity of published articles and explain the purpose and, also, to describe the role of important indexed database in dissemination knowledge through the biomedical journals. Methods: Author searched the most influential on-line databases and analyzed deposited papers within the topic scientometrics and used descriptive method of reviewing important facts about experiences with scientometrics in the scientific and academic practice. Results and Discussion: Bibliometric methods are used for quantitative analysis of written materials. Citation provides guidelines for scientific work, because it stimulates scientists to deal with the most current areas of research, and organizes scientific article at the world level, or shapes and directs it. Citation is influenced by: article quality, understanding of the article, language in which the article is written, loyalty to a group of researchers, article type, etc. Some of the indicators used in the evaluation of scientific work are: Impact factor (IF); Citation of the article; Journal citations; Number and order of authors, etc. Impact Factor is the number of citations of articles published in the journal during the previous two years divided by the total number of articles published in the journal during the same period. Factor of influence depends on: the quality of the journal, the language on which it was printed, the area it covers, the journal distribution system. Conclusion: In this article we pointed that h-Index and Google Scholar indexes presents one of a set of valuable measures to determine scientific excellence. Although the h-Index is a better measure than a citation impact factor (IF), it is still based on the opinions of other authors. Since research in medicine can affect the improvement of clinical and public health practices, it is necessary to conduct them. Only quality research with exact results offers the scientific community new information about the examined problem, and the researcher personal satisfaction, the possibility of communicating and conducting scientific dialogue with other members of the academic community, and opening opportunities to receive critical review of those who have insight into the research.