bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagnosis and treatment of gingivitis
Authors: Zarițchii Vladislav , Uncuţa Diana
Published: June 2024

Introduction. According to epidemiological data, gingivitis is one of the most common periodontal pathologies and occupies one of the primary places in the work of dentists. The prevalence of gingivitis varies between 50% and 99%, regardless of age - both in children and adults. The main cause in the development of gingivitis are microorganisms that manifest themselves through pathogenic properties against a background of poor oral hygiene and reduced local and general resistance. Objective of the study. To establish the diagnosis and methods of treatment of different forms of gingivitis, to evaluate patients dynamically, to identify the characteristics of the clinical course regarding different forms of gingivitis, to study data on the prevalence of periodontal diseases, to identify the main causes of periodontal diseases in children and adults. Materials and methods. Seventeen patients (8 females and 9 males) aged 8-19 were included in the given study. The examination of the periodontal status showed: 2 patients with healthy periodontium, 6 patients with localized chronic catarrhal gingivitis and 9 patients with generalized chronic catarrhal gingivitis. The periodontal status was assessed by gingival inflammation indices according to Loe and Silness, oral hygiene index “OHI-S”, papillary bleeding index (Muhlemann), Schiller-Pisarev test. In all forms of gingivitis, the choice of methods and means of treatment is determined by the particular clinical course of the disease of patients and the severity of the gingival lesions. Results. Clinical examinations detected the presence of gingivitis in 15 patients (6 patients with localized chronic catarrhal gingivitis and 9 patients with chronic generalized catarrhal gingivitis). The prevalence and intensity as well as the poor oral hygiene index are significantly higher in rural areas compared to the urban population. Periodic bleeding of the gums was found in 40% of those examined. The main periodontal tissue pathology detected was chronic generalized catarrhal gingivitis. Conclusion. The study found that the prevalence of periodontal disease is very high in both children and adults. The most common causes of gingivitis are unsatisfactory oral hygiene, negligent attitude of parents towards the hygienic education of the child, presence of dento-maxillary anomalies, immune incompetence caused by local and general factors.
Morphological changes of gingival tissue in hypertrophic gingivitis
Authors: Musteaţă Olesea , Ciobanu Sergiu
Published: June 2024

Background: Hypertrophic gingivitis (HG) in the context of periodontal diseases represents a chronic proliferative pathological process, involving the epithelium and connective tissue of the gingival mucosa. This condition causes an aesthetic defect with the loss of the anatomical appearance of the gingiva but with the lack of destructive processes in the bone tissue. The frequency of HG constitutes about 3%-5% of the total volume of oral pathology, mainly affecting young people and having a harmful impact on oral health and the patient’s quality of life. The purpose of the study: Evaluation of morphological changes in hypertrophic gingivitis by macroscopic and microscopic investigations of the material obtained by biopsy. Material and methods: A total of 90 biopsies were examined taken from 63 patients, aged between 18-40 years old. HG was induced by bacterial plaque and favored by fixed partial dentures, coronary fillings, carious processes. The patients included in the study had no concomitant and associated severe pathologies. Biological material was harvested by the incisional biopsy method, immediately fixed in 10% neutral formalin and transported to the laboratory. Thus, the preparation of the study material included the following stages: material collection, fixation, dehydration, clarification, embedding in paraffin. Sections of 3-4 μm were made with microtome. After deparaffinization, the sections were stained with hematoxylin and eosin. The histological preparations were studied under the optical microscope equipped with a digital camera. The microscopic appearance of the sections was documented by color photographs. Results: The microscopic study of the material obtained by biopsy demonstrated changes both in the epithelium of the gingival mucosa and in the connective tissue of the chorion. The epithelium undergoes hypertrophy through hyperplasia with phenomena of acanthosis, parakeratosis, spongiosis, hydropic and vacuolar dystrophy, leukocyte infiltration. In some cases the epithelium was subjected to erosion, rarely to ulceration. The connective tissue of the chorion of the mucosa also undergoes severe changes – edema, hyperemia and hemorrhages, the triggering of inflam matory processes with granulocytic and then lymphocyticplasmocytic infiltration of both the papillary and the deep layer of the proper lamella of the mucosa. In cases of erosions or ulceration of the chorion, the marked vascularized granulation tissue and lymphocyte infiltrates develop. Conclusions: The used morphopathological method represents a relevant and informative complementary option that confirms the clinical diagnosis of HG. The histological support of HG highlights a process of hypertrophy, as well as one of hyperplasia, which can be associated with an increase of the extracellular matrix.
School Leadership In The 21st Century: A Grounded Theory
Authors: Diano, Jr Felix M. , S. Calbi Jamera
Published: June 2024

The advent of 21st century education and the emerging trends of the Fourth Industrial Revolution (FIRE) call for the education sector to develop new ways and means to improve the education system of the Philippines. Hence, the study aims to generate a theory relative to the characterization of the acclaimed 21st century public secondary school heads in the Province of Cebu, Philippines. This study utilized the Glaserian grounded theory design with 18 participants composed of teachers, students, and public school district supervisors. After thorough data collection and analysis, the study has generated a grounded theory explicating the seven attributes of school head who can successfully navigate the school operations and efficiently address the challenges in the 21st century environment. These attributes include the acquisition of a globally competitive mindset, being a lifelong learner, an effective communicator and collaborator, a sound and impartial decision maker, a dignified instructional leader, being strategic and resilient, and transformative.
Organizational Factors And Employees' Satisfaction In Nigeria Private Universities: Implication For Human Resources
Authors: Kolawole Olanrewaju, PhD Ayodele, , Makinde, PhD Abiola O. , Caroline, PhD Uwannah Ngozi , Adekunle, PhD Wright Olusegun
Published: June 2024

Educational institutions that are committed to employees' wellness are often focused on the continuous improvement of the staff or workers' experience. This study empirically analyzed the organizational factors and employees' satisfaction in a private university in Nigeria with implications for human resources management. This study employed the descriptive research design type. Three hundred and eighty-eight participants selected through multi-stage stratified random sampling technique were used for the study. One main instrument was used in collecting data. Data was analyzed using descriptive analysis of frequency counts, simple percentages and rank order. Results showed organizational factors (staff empowerment and development, staff enhancement and benefit, employee involvement) and employees' satisfaction have implications for human resources management. It was concluded that understanding university staff members' motivations and the degree to which the organization and contextual factors meet their needs is crucial, as they hold a crucial position in determining the efficacy, efficiency, and sustainability of educational systems.
Pelvic Rocking Exercise on The Length of The First Stage of Labor
Authors: Erlin Nuraeni  , Rukmaini  , Novelia Shinta
Published: June 2024

In general, there are still many women in labor who experience a prolonged first stage. Prolonged labor is one of the causes of increased mortality and morbidity in the mother and fetus. There are various methods that can be used to speed up the progress of labor, one of which is using non-pharmacological methods, namely exercise pelvic rocking exercise. The aim of this research is to find out the differences pelvic rocking exercise on the length of the first stage of labor between the experimental group and the control group. Research methods quasi-experiment design. This uses a research design posttest only design with control groups. The population in this study were primigravidarum mothers. The sample in this study consisted of 30 respondents who were divided into 2 groups, namely 15 respondents in the experimental group and 15 respondents in the control group. Research results from independent t-test It is known that the significance value is 0.000 <0.05, so it can be concluded that Ho is rejected and Ha is accepted, which means there is a difference in the length of labor between the experimental group and the control group.pelvic rocking exercise on the length of the first stage of labor. Conclusion there is influence pelvic rocking exercise on the duration of the first stage of labor at the Binuangeun Health Center UPT in 2023. It is hoped that health workers can apply the technique pelvic rocking exercise. This is for mothers giving birth so that mothers can give birth comfortably and in a quicker time compared to previous care.
The Relationship between Clean Water Facilities, Building Conditions, and Toilet Ownership with Events Stunting among Months Toddlers in The Working Area of The Taktakan Public Health Center
Authors: Prihayati  , Wasis Sembada Lanjar , Ramayulis Rita
Published: June 2024

Stunting is a growth and development disorder experienced by children due to poor nutrition, recurrent infections, and inadequate psychosocial stimulation. Research purposes This is analyzing and knowing the relationship between clean water facilities and conditions building and ownership of toilets with the occurrence of stunting in toddlers aged 6-59 years month in the working area of the Taktakan Community Health Center, Serang City in 2023. Design This research is an analytical observational study with a research plan Cross section. The sample in this study was 62 toddlers aged 6-59 months. Primary data collection uses questionnaires with direct interviews, Secondary data was obtained from data on toddlers at the Taktakan Community Health Center, Serang City 2023. The results of the univariable analysis show that most of the toddlers are in the category very short at 24.2%, most of the clean water facilities are in the good categoryamounted to 67.7%, and latrine ownership in the good category amounted to 91.9%. Results of bivariable analysis stated that there was a significant relationship between the means clean water (p=0.000), building condition (p=0.000), and latrine ownership (p=0.010) with the incidence of stunting in the Taktakan Community Health Center working area, Serang City in 2023. Suggestions are given to improve supervision as well give more attention to pregnant women and babies about the importance of adequate nutrition and living environment.
Determinants of GIG Business Prospects for Achieving Financial Resilience: High Order SEM Analysis
Authors: Qureshi Shahid Hussain
Published: June 2024

The determinants of GIG business prospects for achieving financial resilience among 280 entrepreneurs in Rajasthan were investigated using convenient sampling. Through our analysis, we operationalized financial resilience using indicators such as income stability, savings accumulation, ability to withstand financial shocks, and overall economic well-being. Our findings underscore the critical role of independent variables in shaping GIG workers' financial resilience. Access to Resources emerged as a significant determinant, highlighting the importance of capital, tools, networks, and training opportunities in enhancing GIG business prospects and financial resilience. Additionally, Technological Factors played a crucial role, with the utilization of technology platforms, tools, and digital skills impacting GIG's business efficiency, reach, and competitiveness. Moreover, the Regulatory Environment significantly influenced GIG workers' financial resilience, emphasizing the implications of labor laws, tax policies, and regulatory frameworks governing GIG platforms. Furthermore, Social Support Networks emerged as a vital factor, with the availability of familial, peer, or professional support networks contributing to GIG workers' financial, emotional, and informational well-being.
Experimental validation of a real-time fuzzy logic-based MPPT controller for a PEM fuel cell emulator system
Authors: Mourad Tiar , Omar Charrouf , Malika Hasrouri , Achour Betka , Kethiri Fadi Mohamed , Sabrina Abdeddaim
Published: June 2024

The Fuel cells are vital in the industry due to their environmental benefits, high efficiency, energy security, operational flexibility, and long-term cost savings. Their diverse applications and contributions to innovation and economic growth further underscore their importance in the industrial sector. The development of precise emulators is essential to advance fuel cell technology, providing a robust platform for testing and optimization. These benefits contribute to the advancement of fuel cell technology and support the transition to sustainable energy systems. The implementation of MPPT in fuel cell emulators enhances efficiency, stability, and adaptability, leading to improved performance, longer lifespan, and lower operational costs. For this, in this article proposes a proton exchange membrane fuel cell emulator based on a DC-DC Buck converter controlled by a Lyapunov regulator. The emulator is connected to a boost converter and tested using a maximum power point tracking (MPPT) algorithm. A fuzzy logic MPPT controller is introduced, allowing for the extraction of the maximum available power with minimal oscillations around the optimum, irrespective of load changes. The system's effectiveness is validated under various operating conditions using the MATLAB Simulink package. Polarization characteristics obtained from the PEM fuel cell reference model illustrate the influences of temperature and oxygen pressure on the I-V and P-I characteristics. For experimental validation, a real-time test was conducted. The simulation and experimental results under different conditions are presented and analyzed.
Aplicações da regra de três numa aritmética editada pelas professoras do Colégio São José de São Leopoldo/RS, em 1900, para o público feminino
Authors: Kuhn Malcus Cassiano , Britto Silvio Luiz Martins
Published: June 2024

O tema deste artigo se insere na História da Educação Matemática, pois tem por objetivo apresentar aplicações da regra de três propostas em um livro de Aritmética de autoria das professoras do Colégio São José, de São Leopoldo, Rio Grande do Sul, publicado no ano de 1900, para o público feminino. Este estudo qualitativo e documental ampara-se em referenciais sobre manuais escolares para análise da terceira parte de uma coleção de três aritméticas. A ideia defendida pelas autoras consistia em algo prático e necessário que visava facilitar o conhecimento de uma ciência nem sempre atrativa para as alunas do Colégio, relacionando-se a teoria com situações práticas e do contexto das alunas. O livro analisado está dividido em 13 capítulos: frações decimais, números primos, frações ordinárias, metrologia, razões e proporções, regra de três, regra de juros, regra de desconto, regra de proporções e companhia, regra de mistura e liga, potências e raízes, elementos da geometria e problemas mistos sobre as regras dadas no livro. As autoras aplicam a regra de três no estudo de juros, descontos, regra de proporção e regra de companhia ou de sociedade, por meio de problemas para serem resolvidos oralmente ou por escrito, empregando-se os métodos de redução à unidade e das proporções. A metodologia proposta pelas professoras, no estudo das aplicações da regra de três, visava o desenvolvimento do cálculo mental e escrito e do pensamento proporcional nas alunas. Dessa forma, esperava-se que as egressas propagassem a tradição da Ordem das Irmãs Franciscanas, através do gerenciamento de atividades futuras nas diferentes comunidades do Rio Grande do Sul.
Performance of soybean cultivars for increased seedling emergence after sowing in dry soil
Authors: Argenta Henrique da Silva , Souza Emanuelli da Rosa , Link Diogo Mateus , Nunes Ubirajara Russi
Published: June 2024

The soybean (Glycine max (L.) Merrill) sowing in dry soil occurs under high temperature and low soil moisture conditions, which can impair seed vigor and emergence. The aim of this study was to evaluate the effects of dry soil storage on the soybean seed physiological quality of soybean seeds and the performance of high-vigor cultivars under these conditions. For this, a 3 × 3 factorial was applied, consisting of three soybean cultivars and three dry soil storage times (14, 7, and 0 days), in a completely randomized design, with four replicates. The evaluated traits were: emergence at 7 days, emergence at 14 days, radicle length, epicotyl length, and seedling dry mass. The data were subjected to analysis of variance, Scott-Knott mean grouping, and Pearson linear correlation. The cultivar × dry soil storage time interaction was significant for all traits, which allowed the evaluation of cultivar performance for higher seed physiological quality. The cultivar NA 5909 RG showed higher seedling emergence at 7 days (57%) when subjected to 14 days of sowing in dry soil (DSS), while the cultivar BMX Delta was superior at 0 DSS. Seed physiological quality was statistically similar at 0 and 7 DSS, and lower at 14 DSS. The genetic variability obtained between cultivars allows specific recommendation of cultivars for different water availability conditions and storage periods in dry soil. The cultivar NA 5909 RG is recommended for sowing in dry soil with up to 14 days of no rain, while the cultivar BMX Delta has higher vigor under readily available water.
Uma avaliação do método científico à luz da epistemologia
Authors: Vidal Lilian Machado Marques , Nunes Clair de Luma Capiberibe , Jardim Maria Inês de Affonseca , Queiros Wellington Pereira de
Published: June 2024

O empreendimento científico, por sua natureza, é um processo intrincado e mutável que, com frequência, é simplificado de maneira inadequada em manuais de ciência, os quais o reduzem a uma série linear de etapas fixas denominadas Método Científico. Essa perspectiva simplista negligência a natureza multifacetada e flexível do processo científico, omitindo sua dimensão epistemológica e nuances inerentes. Moreira e Ostermann identificam essa distorção, argumentando que tal visão caricatural do método científico pode prejudicar o ensino de ciências, ao incentivar os estudantes a desconsiderarem a complexidade e a criatividade inerentes à prática científica, bem como a subestimarem a importância da reflexão crítica e da análise contextualizada, elementos cruciais para o progresso do conhecimento científico. Neste ensaio, corroboramos as críticas de Moreira e Ostermann, enfatizando que uma compreensão mais abrangente e contextualizada da ciência é fundamental para promover uma educação científica eficaz. Para respaldar as críticas ao Método Científico, recorremos a autores de diversas tradições, incluindo ortodoxos como Popper, historicistas como Kuhn e dialéticos como Bachelard. Dessa maneira, demonstramos que, apesar das divergências entre essas correntes, há um consenso de que a concepção ingênua do método científico é insustentável. Com isso, almejamos sensibilizar educadores, divulgadores científicos, pesquisadores e o público em geral para reconhecerem a natureza dinâmica e multifacetada do processo científico. Sobretudo, aspiramos capacitar os educadores a prepararem os estudantes para se tornarem pensadores críticos e participantes ativos na construção do conhecimento científico.
An Optimization Study of Pricing Strategies for Vegetable Category Based on Seasonal ARIMA Model with Linear Regression
Authors: Pan Zhenshen
Published: June 2024

Different categories of vegetables have different growth cycles, seasonal supply variations, and price fluctuations. Supermarkets need to consider these factors when making replenishment and pricing decisions in order to maximise revenue while meeting market demand. In this paper, replenishment and pricing decisions are made based on the historical sales data of the superstore, using a linear regression model and then predicting future sales based on a seasonal ARIMA model. A new mathematical model about pricing and an optimization model with the objective of maximising the revenue of the superstore are developed to get the pricing strategy mainly by adjusting the cost rate and give the total daily replenishment and pricing strategy for vegetables from 1 to 7 July 2023 for each category.
The growth mechanism and strategies of dendrite in lithium metal anode
Authors: Gong Mingchen
Published: June 2024

Lithium metal batteries offer an incredibly high potential energy density when compared to the present large-scale commercial lithium-ion batteries. In recent years, with the development of technology, the energy density of lithium-ion batteries has rapidly reached its theoretical energy density. People are gradually pursuing higher energy density batteries. The negative electrode of batteries, made of lithium metal, has the lowest reduction potential and the highest theoretical specific capacity, which has great research value and a number of possible uses for the creation of secondary batteries with large capacities. However, actual uses may present safety risks. Lithium dendrites, which can result in short circuits, fires, or explosions, and decreased battery efficiency are caused by the ease with which Li+ can deposit unevenly on the anode's uneven surface. As a result, this study focuses on the development process of lithium dendrite and analyzes three elements of electrolyte regulation: artificial SEI layer, solid electrolyte, and strategies to restrict the growth of lithium dendrite.
US Gasoline Prices: Linear Regression Model and ARIMA Model Forecast
Authors: Wang Xinyu
Published: June 2024

The price of gasoline has always been a concern in consumer’s daily lives. As the price increases, consumers spend more on driving. According to the 2022 BP Statistical Review of World Energy, the United States contributed more to the growth of the oil and gasoline consumption in 2021. The study focuses on analyzing past US monthly gasoline price changes and forecasting the prices for the next year. The combination of the linear regression model and Auto Regressive Integrated Moving Average (ARIMA) model is performed to predict the trend and display the forecasted price ranges. The study reveals that there will be an increasing trend for US monthly gasoline prices, starting from $0.964 in August 2023 to $1.108 in July 2024. The lower prices and higher prices from the interval show the same trend of moving upwards. For future research, crude oil demand and supply, and prices are considered as important factors in predicting the gasoline prices because gasoline is a refined product from crude oil.
Unveiling the Dynamics of Vegetable Category Sales Through a Data-Driven Approach
Authors: Wu Sheng , Zheng Jie , Yuan Xianlei , Qiu ChuYang
Published: June 2024

In the context of the development and application of big data technology, it is particularly important to use a data-driven approach to understand the changes in consumer demand for different vegetable categories and the relationship between them and sales volume to optimize supply chain management and formulate effective marketing strategies. In this paper, three machine learning algorithms, namely K-means cluster analysis, quadratic parabolic regression, and Pearson correlation analysis, were used to analyze the sales of vegetable categories, and the characteristics of people's purchase of vegetables and the correlation coefficients between sales volume and category were -0.12 and 1.00, indicating that the correlation between purchase characteristics and categories was weak, and the sales volume was completely dependent on the category of vegetables.
Optimizing Cycling Performance: Comprehensive Analysis Using OMPD, Weather Influence, and Team Dynamics
Authors: Zhang Jiahang
Published: June 2024

Competitive cycling requires strategic power management, influenced by individual abilities, environmental conditions, and team coordination, to achieve optimal performance in diverse racing scenarios. This study introduces an enhanced simulation model for cycling performance, which replaces the traditional CP model with the OMPD model and incorporates elements like fatigue, weather, and road information for a more comprehensive analysis. The model is applied to various tracks to analyze individual cyclists’ power output, fatigue, and abilities. It reveals significant power differences between male and female cyclists. The study also extends the model to team dynamics, examining how a six-person team, functioning as a single unit, can achieve higher overall power and efficiency compared to individual performances. Furthermore, the model includes a weather system and assesses the minimal impact of weather conditions on cyclists. Through repeated simulations, the robustness of the model and its effectiveness in predicting race outcomes are demonstrated, providing valuable insights for coaches and cyclists in strategizing for competitive racing.
Study on Radiometric Consistency of Landsat Images using Multi-band Joint Regression Model
Authors: Wang Yulong , Liu Xiaobang , Yu Li , Wang Chu
Published: June 2024

The long time-series dataset of radiometric consistency is the foundation of image processing, quantitative analysis, image fusion. However, due to the influence of atmospheric conditions, observation angles, geographical environment, reflective-band and other factors, the radiometric inconsistency exist in same-region Landsat images acquired by different satellites or acquired at different times. Therefore, this paper builds the radiation normalization model using Multi-band Joint Regression method, which is used to perform radiometric consistency conversion on Landsat 7/8 images. Meanwhile, the validity of the radiation normalization model is evaluated based on the validation data and vegetation index. Furthermore, the accuracy of the model is verified by comparing with the traditional single-band regression model. Finally, the experiment results show that the proposed model has better accuracy and can enhance the radiometric consistency of multi temporal Landsat images significantly.
A study of projects to reduce illegal wildlife trade based on least squares and structural equation modeling approaches
Authors: Feng Zhixuan , Zhao Xiuhua , Li Hongze
Published: June 2024

Illegal wildlife trade is a rapidly growing global threat to our environment and biodiversity[1]. Despite the establishment of wildlife protection organizations in various countries to combat this issue, the results have not been significant, and illegal wildlife trade continues to be rampant[2][3]. Urgent action is needed to curb this illegal activity.This paper analyzed the problems identified in the article and proposed the 'Stop Illegal Wildlife Trade' program. This paper evaluated the program's effectiveness using two data-driven methods: least squares (OLS) and structural equation modeling (SEM). The program aims to reduce illegal wildlife trade.
Research on the Teaching Mode of Hydraulics based on PDCA Cycle Theory
Authors: Chen Hui , Chen Baiquan
Published: June 2024

The interdisciplinary application requirements and professional knowledge bias pose significant challenges to the teaching of Hydraulics. This paper establishes a problem- and result-oriented PDCA cycle "Hydraulics" course teaching model based on the PDCA cycle theory, elucidates the teaching concept of PDCA cycle "Hydraulics" course, and thoroughly discusses the teaching method and implementation process. Through comparative analysis of teaching results in two sample classes under different modes, it is found that students achieve better results in both process assessment and result assessment under the PDCA cycle teaching mode compared to traditional methods. The research findings can serve as a reference for improving the quality of Hydraulics and related courses.
Extreme Weather Risk Assessment and Insurance Decision Making Based on ARIMA Model and Visual Analysis
Authors: Liu Hongyu , Meng Jingyu , Li Weizhou , Liu Shuxian
Published: June 2024

Extreme weather events have occurred frequently in recent years, posing great challenges to the insurance industry. In this paper, ARIMA model is used to predict future losses caused by extreme weather, and data visualization analysis is combined to provide risk assessment and decision support for insurance companies. The results show that the ARIMA model can effectively predict future losses, and insurance companies can adjust premiums and invest in disaster mitigation projects according to the forecast results. In addition, through data visualization analysis, the frequency and loss degree of different regions, seasons and disaster types are found, which provides a basis for insurance companies to formulate differentiated premium strategies. This study provides important technical support for insurance companies to make decisions under extreme weather risks.
Research Progress in Modified Graphite Negative Electrode Materials for Lithium-Ion Batteries
Authors: Sun Yubei
Published: June 2024

As manufacturing and technology advance quickly, more and more energy is utilized, creating a number of issues with resource scarcity and environmental damage. Electric chemistry technology has advanced quickly in recent years, with lithium-ion batteries (LIBs) standing out due to their higher working potential, high energy density, and low pollution levels. These batteries are now widely employed in industrial sectors including electronics and electric cars. Carbon-based materials are frequently employed as negative electrode materials for LIBs because of their benefits of having a large specific surface area, strong conductivity, and affordability. However, untreated graphite has drawbacks such as low capacity, unstable layered structure, and low charging and discharging platform, which can have a significant impact on the performance of batteries. By modifying graphite materials differently, these problems can be effectively solved. Therefore, this paper faced by LIBs and potential future developments is summarized in this study, along with certain modification techniques and research advancements of graphite anode materials in recent years.
Research on Hotel Room Pricing and Cancellation Policy Strategies Based on Consumer Cancellation Behavior
Authors: Zhang Li , Xie Guosheng
Published: June 2024

Based on the unbooking behavior of consumers, a single-channel supply chain model of a single hotel is constructed, and the room demand of a hotel is constructed by combining the consumer utility theory. The profit and room pricing of hotels with different unbooking strategies are analyzed, as well as the selection of unbooking strategies. Studies have shown that hotel room prices always increase with the increase of cancellation losses. In the strategy of allowing cancellation, the demand of hotel rooms decreases with the increase of cancellation loss. In the policy of not allowing unbooking, the greater the loss of unbooking, the greater the demand for hotel rooms. In the no-cancellation policy, the demand for rooms decreases as the reputational damage of the hotel increases. The total profit of the hotel is affected by the matching degree of rooms, cancellation loss and reputation loss of the hotel, and these factors determine the choice of the unbooking strategy of the hotel. When the hotel specifically understands the reputation loss caused by the unbooking strategy, there are corresponding thresholds for  and , so that the hotel can develop the unbooking strategy with the best profit.
Vegetable replenishment and pricing model for supermarkets based on BP neural network and planning model
Authors: Zhao Yuyue , Guo Shuyang , Liu Xinyu
Published: June 2024

Vegetable goods in the superstore have high freshness requirements, in order to make the maximum profit under the condition of meeting the market demand, it is necessary to determine the total amount of replenishment as well as the pricing strategy. This paper applies BP neural network to establish a model to get the relationship between vegetable sales and cost-plus pricing. Finally, the objective function is constructed with the maximum profit, and a planning model is established to determine the total amount of replenishment in the coming week and formulate the pricing strategy with the maximum profit. It aims to solve practical problems and help superstores better determine the replenishment volume and pricing strategy of vegetables.
Optimization Of Vegetable Sales Strategies and Daily Replenishment in Supermarkets
Authors: Wang Yikai , Xu Ziang , Ye Haoxiang
Published: June 2024

Vegetable products in the superstore have a shorter freshness period, the quality will deteriorate with the increase of sales time, and most varieties can only be sold on the same day. In order to develop a reasonable pricing and replenishment program, this paper first establishes a polynomial regression model to determine the relationship between the total sales volume of each vegetable category and the cost-plus pricing, taking the daily pricing of each category as the independent variable, the daily sales volume of each category as the dependent variable, and taking the polynomial order as 3 to construct the regression function. Then the LSTM model is constructed to predict the confidence interval of the total sales volume of each category in the next seven days, and finally this paper constructs a nonlinear programming model to maximize the revenue of the day as the objective to construct the revenue function, with the constraint that the total daily replenishment volume of each category needs to satisfy the confidence interval of the total sales volume, and then the simulated annealing algorithm is used to find the optimal total daily replenishment volume and pricing strategy in the next seven days.
Research on the Influence of Food Prices on Children’s Malnutrition
Authors: Xu Danchen
Published: June 2024

Nutrition poses a critical concern in developing nations. Studying economic factors like food prices aids in understanding how food prices impact children’s well-being, informing policy decisions. This study selected relevant datasets and involved regression and time series analysis to examine the connection between food prices and children's malnutrition in low-income food-deficit countries, considering their higher malnutrition prevalence and diverse influencing factors. The results highlight significant yet complex correlations between the Consumer Price Index (CPI) of food and stunted children, as well as the CPI of food and Minimum Dietary Energy Requirement (MDER). The time series analysis of CPI indicates fluctuating trends with periodic seasonal patterns, suggesting potential instability in food prices and children’s malnutrition. However, economic policies, socio-economic factors, agricultural practices, and cognitive behaviors affect nutritional outcomes synthetically, thus calling for deliberate interventions to address malnutrition among children.
Effect of Housing Factors on Price in Seattle During the COVID-19 Pandemic
Authors: Hu Haoquan
Published: June 2024

Due to the influence of the COVID-19 pandemic, global economic trends have faced an immense change. The major difficulty experienced by workers, laborers, and households are the tremendous changes in housing prices in every part of the world which are both hard to bear and almost impossible to forecast from current factors. With a particular dataset based on the housing price in Seattle, Oregon, USA. This research will use a multiple linear regression model to predict the housing price through various housing factors and to compare the accuracy of the prediction and the relationship between variables by contrasting the train and test set whilst also constructing a residual graph. The result ends up with a moderate accuracy due to the influence of multicollinearity between the factors, this can be seen through the variance Inflation Factor. The process requires the standardization of the data in order to make the test legitimate.
Hybrid Role Modeling of Lampreys Sex Ratio Environment Based on Lotka-Volterra Model
Authors: Tang Jinliang , Jia Tongtong
Published: June 2024

In this paper, the Lotka-Volterra model was used to study the sex ratio of lampreys under different food resources. The results showed that the male ratio of lampreys was relatively low in the environment with abundant food resources. In environments where food resources were scarce, the proportion of males increased significantly. In addition, the study also established a mixed-role model of lampreys’ sex ratio environment. By comparing the reproductive efficiency of lampreys’ populations under different sex ratio conditions, it was found that the reproductive efficiency of lampreys’ populations with sex ratio adaptation was higher in the short term, but in the long term, the fluctuation of sex ratio would reduce the reproductive efficiency of lampreys’ populations. Finally, the effects of sex ratio changes on ecosystem stability of lampreys were analyzed by constructing a food web model with multiple trophic levels. The results showed that the fluctuation of lampreys’ sex ratio had a stabilizing effect on ecosystem stability.
A study on traffic congestion prediction based on random forest model
Authors: Sun Shuo , Yan Hao , Lang Zejun
Published: June 2024

Enhancing the precision and minimizing false alarms in predicting urban traffic congestion is imperative for maintaining a smooth traffic flow in cities. This paper explores the patterns of road congestion from both a spatial perspective and a temporal perspective. In the spatial perspective, this paper finds that there are differences in the traffic congestion values of different roads through the box plots of the traffic congestion values of each road, and then finds that there is spatial correlation between the traffic congestion values of different roads through the Pearson correlation analysis. In terms of time, this paper finds that the congestion data is cyclical. Thus, it is necessary to establish a model based on both temporal and spatial characteristics. In this paper, the Lasso model, Ridge model and random forest regression model are used to fit the traffic congestion data, and the model is evaluated by using three evaluation indexes, namely Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE), and the results of the study show that the random forest regression model is the most accurate in predicting the traffic congestion values.
Hydroelectricity power project and policy for Sub Saharan Africa
Authors: Gao Yusheng
Published: June 2024

As the development of renewable energy, more and more people realize that renewable energy is a good way to solve the global warming and decrease using chemical fuel but provide enough energy at the same time, especially for those countries which did not have enough resources to provide energy. This paper purpose is to help people in Sub-Saharan Africa have access to electricity using the hydroelectric power project. Although Sub-Saharan Africa has various resources, its industry is not developed, leading these resources cannot transfer energy. This paper analysis the advantages and disadvantages of hydroelectric power project for Sub-Saharan Africa, and find the way called chain to solve contracting problems. Research found that hydroelectric power project may have bad influence on environment, even worse in global warming. But can provide much electricity for countries which is more important during this time for Sub-Saharan Africa.
Selection of Catalysts for Oxygen Reduction in Proton Exchange
Authors: Zhou Xinyi
Published: June 2024

Nowadays, the energy crisis is becoming more and more severe, and using fossil fuels widely has caused a large number of environmental problems, with the most severe impact being the greenhouse effect. At the same time, the problem of glacier melting has also been affecting our daily lives. In addition to the loss of habitat for a large number of animals and the impact on freshwater resources, the melting of glaciers is detrimental to the health of the human diet, among other issues. Due to their products' high energy density and lack of pollutants, hydrogen fuel cells have attracted a lot of interest. One of the main obstacles in the development of hydrogen fuel cells, while there are still many others as well, is the catalyst for the oxygen reduction process, which takes place in the cathode section of the hydrogen fuel cell's energy conversion core. Because the cathode oxygen reduction process is inactive and moves slowly, proton exchange membrane fuel cells (PEMFC) need to utilize a catalyst to speed up the reaction and increase efficiency even more. Proton exchange fuel cell catalysts may be broadly categorized into three groups: non-metal, non-precious metal, and precious metal catalysts. This article primarily examines, with examples, the benefits and drawbacks of several kinds of catalysts. In the review's conclusion, also discusses the challenges to their future development and the possibilities for PEMFC catalysts.
A study of tennis momentum based on a comprehensive evaluation model and a random forest model
Authors: Ding Haocong , Mao Zhiwang , Cai Jingyan
Published: June 2024

When the situation of a tennis match changes, the player's performance and momentum on the court are always a topic of concern for the audience. How to correctly and intuitively show the player's current momentum and predict the player's future momentum change is always a great challenge. In this paper, the momentum evaluation model based on comprehensive evaluation and the momentum shift prediction model based on random forest are established to address the above two problems, respectively. Among them, the player momentum evaluation model can not only accurately calculate the real-time momentum of both players, but also intuitively show which player has an advantage and the degree of advantage at each moment. The Momentum Shift Prediction Model can predict the momentum changes of future players based on current and past match data. These two models can not only help tennis coaches to better arrange the match strategy but also help tennis players to correctly analyze the court situation and make correct judgments, which has certain practical value.
Methods for improving negative electrode performance of lithium-ion batteries under low-temperature conditions
Authors: Tang Zhiyi
Published: June 2024

The benefits of lithium-ion batteries (LIBs), one of the most popular secondary batteries, include their high specific energy, prolonged cycle life, minimal self-discharge, lack of memory effect, and green environmental protection. Although they are now widely employed in a variety of industries, including new energy vehicles, digital devices, aviation, and aerospace, the present range of mainstream commercial products' applications is restricted to settings of normal temperature. Their uses are severely constrained at high temperatures because of a large decrease in energy density and an increase in resistance. One of the crucial factors is the deterioration in the performance of negative electrode materials. This article first explores the problems faced by the negative electrode of lithium-ion batteries under low-temperature conditions. Then, the research progress of common negative electrode materials and their reaction mechanisms during LIBs charging were introduced. In addition, methods for improving the performance of low-temperature anodes were emphasized. Finally, prospects for future LIBs under low-temperature conditions were presented.
Comparison of the Suitability between the Piston Solid Gravitational Energy Storage and Rechargeable Battery Energy Storage for Applications in the Industrial Process of Electricity Storage
Authors: Wang Shouyi
Published: June 2024

Contemporarily, the electricity deficiency is a problem that should be faced and discussed for most countries. To solve this problem, the electricity should be used wisely. In this paper, the suitability between the Piston Solid Gravitational Energy (PSGES) and Rechargeable Battery Energy Storage (RBES) for applications in the electricity storage for both scenarios is compared. First, the development conditions, quantitative metrics including energy efficiency, energy density, response time of discharging, energy losses during the storage, duration of the storage, and levelized cost of the energy are discussed for each system. Then, quantitative metrics between these 2 systems are compared. The comparison results shows that the RBES used sodium-sulfur (NaS) has the highest competency compared with the rest systems. It has flexible discharge time, fast response time, high energy density and power density, relatively low levelized cost of the energy, and high efficiency. Thus, the RBES used NaS is the optimal solution for both scenarios.
Based on Raspberry Pi Voice Controlled Smart Home System
Authors: Zhang Xude , Luo Dihong , Wu Xiaoping
Published: June 2024

Designing a voice-controlled smart home system based on Raspberry Pi enables intelligent and user-friendly interaction experiences in home automation. Raspberry Pi serves as the core control system, connecting to WIFI for remote control. The voice module is responsible for receiving and processing voice signals. After receiving signals from the voice module, Raspberry Pi processes them to control external devices. The smart home external devices include curtain motor control modules, light modules for controlling light colors, and switch modules for controlling circuits. The system has been tested and proven to have high reliability and stability.
Analysis of the Principle and Application of Optimization
Authors: Xu Chenhao
Published: June 2024

As a matter of fact, optimization approaches are widely used in lots of fields to find the best solutions for certain issues in recent years. In reality, the optimization refers to the use of optimization algorithms or models to find the overall or local optimal goal of the optimization problem under certain constraints. The optimization principle has been widely applied in various practical fields, such as power system engineering design, internet fields, production management, logistics planning, financial investment. With this in mind, this article will introduce and analyze the principle of optimization and applications of optimization principles in some fields. To be specific, the equations, solutions as well as the effectiveness of the applications will be analyzed and demonstrated. According to the analysis, the current limitations as well as the prospects will be given at the same time. Overall, these results shed light on guiding further exploration of implementation for optimization.