bluuebunny/crossref_metadata_2025 huggingface dataset:
Building And Analyzing The Use Of Network Systems In Diskless-Based Intro Internet Café
Authors: Rusidi Abid , Khairil  , Kurniawansyah Arius Satoni
Published: August 2024

The use of computers and internet has become an integral part of daily life. A popular use is online gaming, where access convenience is often lower through smartphones compared to computers, leading many gamers to continue using their computers or visit internet cafes to meet their gaming needs. The success of internet cafes also depends on internet speed and computer device maintenance. The process of updating games on each client computer also affects overall internet speed. To address this issue, Intro internet cafe has built a diskless-based system, which centralizes data on the server so that game updates only need to be done on the server, allowing users to access the latest version without manual updates on each client computer, while also having sufficient security. This research aims to build and analyze the use of network systems in Diskless-Based Intro internet cafe. With a focus on configuration, performance, and efficiency, this research addresses several issues that arise with the use of diskless systems. The results show that the diskless system provides many benefits, such as reducing hardware costs, easier management, and increased data security. This system allows client computers to boot via the network and efficiently run the operating system. It is expected that the implementation of a diskless system in the operations of Intro internet cafe will provide efficiency and significant benefits.
Operational Customer Relationship Management (Crm) Application To Improve Customer Satisfaction Web-Based Customer Satisfaction
Authors: Robianto Diki , Kanedi Indra , Zulfiandry Ricky
Published: August 2024

The development of science in the field of computer technology and information is currently experiencing very rapid progress. Computers are a set of technologies that greatly help human work, Customer needs need to be clearly identified, as part of product development. Customer Relationship Management (CRM) is a marketing strategy that builds a close relationship between the company and its customers. Before developing a system, firstly, the writer analyzes the current system. As for now there is no Operational Customer Relationship Management (CRM) Application system to Increase Web-Based Customer Satisfaction about customer satisfaction. From the results of making the system design Operational Customer Relationship Management (CRM) Application Design to Increase Web-Based Customer Satisfaction, the following conclusions are obtained: development of the system Design of Operational Customer Relationship Management (CRM) Applications to Increase Web-Based Customer Satisfaction is used as an SPK tool. Then, the information system Designing Operational Customer Relationship Management (CRM) Applications to Increase Web-Based Customer Satisfaction is one of the right and fast information.
SWOT Analysis To Determine Competitive Strategy In Yakusa Laundry Business
Authors: Putra Arbeiansah Pratama , Saputera Surya Ade , Alam RG Guntur , Erwadi Yetman
Published: August 2024

In this era of modern development, there is a lot of competition throughout the industrial world, including inside and outside the industry. This also happens because changes in the field of technology are increasingly rapid and precise. In conditions of rapid technological development, this is possible for business actors, especially companies, this situation is no longer surprising when operating in the field of commodity operations, in this case company management will compete with each other through various media to improve the sales process to current marketing consumers. This example is Yakusa Laundry. The author's aim in conducting research on the Yakusa laundry business aims to identify and analyze SWOT, namely strengths, weaknesses, opportunities, threats, such as competitive strategies to increase competitiveness. on the Yakusa Laundry business. This research uses a descriptive qualitative approach, data collection techniques using narrative data methods, namely oral and written interviews, observation and documentation. Investigation of informants is based on relevance and adequacy. The results of research regarding marketing strategies in increasing competitiveness at Yakusa Laundry show an increase in competitiveness, this is proven by the company's control of market share.
Implementation Of Sequential Searching Algorithm In Car Sales E-Commerce Web
Authors: Reswan Yuza , Darnita Yulia , Mahfuzhi A.R. Walad Mahfuzhi , Elviani Elviani
Published: August 2024

The sequential searching algorithm is an algorithm that performs a search by matching the data to be searched with all the data in a group of data in a sequential manner starting from the first data until the data can be found. The development of information and communication technology has brought significant changes in various aspects of life, including in the world of commerce. E-commerce has become a popular platform for carrying out buying and selling transactions, including car sales. Selling cars via e-commerce offers many benefits for buyers and sellers. For buyers, e-commerce provides easy access to a wide selection of cars at competitive prices. For sellers, e-commerce expands their market reach and allows them to reach more customers. However, as the number of products available on e-commerce websites increases, finding the desired product becomes increasingly difficult. This can cause frustration for buyers and result in decreased sales. This research aims to discuss the implementation of sequential search algorithms on car sales e-commerce websites. This algorithm is expected to help buyers find the car they want more easily and quickly, thereby increasing buyer satisfaction and increasing sales for sellers.
Innovations in non-invasive cardiovascular diagnostics: The interplay of nursing, pharmacy, health records, and emergency care in cardiology
Authors: Almanna Mohammad Abdullah , Alanazi Dhiyaa Manawer , Alaujan Badour Subhi , Zamzami Bander Ahmad , Alanazi Nouf Hamed , Alshaibani Reem Sultan , Alowaidan Salwa Rashed , Alharbi Albandary Falah
Published: August 2024

Background _ Cardiovascular disease remains the leading cause of mortality and disability in the United States and globally. Despite technological advancements that have improved life expectancy and quality of life, the prevalence of cardiovascular diseases continues to rise, often associated with aging populations experiencing multiple chronic conditions. Current clinical guidelines often neglect the complexity of multimorbidity and the intricacies of healthcare systems, making their practical implementation challenging. Moreover, care plans frequently fail to consider individual preferences, cultures, and lifestyles that shape a person's social and environmental context, hindering acceptance and effectiveness, particularly among high-risk populations. Aim of Work – The objective of this scientific statement is to provide a comprehensive overview of person-centered care delivery models for specific cardiovascular disorders, emphasizing the features and documented outcomes of these approaches. Methods – A scoping study was conducted using a systematic search of databases including Ovid MEDLINE, Embase.com, Web of Science, CINAHL Complete, Cochrane Central Register of Controlled Trials via Ovid, and ClinicalTrials.gov, covering the period from 2010 to 2017. Various research designs were included that specifically assessed care delivery methods for targeted cardiovascular diseases.
Interprofessional collaboration in emergency departments
Authors: Almanna Mohammad Abdullah , Alanazi Dhiyaa Manawer , Al Enazi Sami Mohammed , Alaujan Badour Subhi , Zamzami Bander Ahmad , Alanazi Nadin Lafi , Ababtain Hind Amer , Altalouhi Fatmah Malfi , Alenizi Eman Smair , Aldossary Ghuzyel Fahad , Alanazi Nouf Hamed , Alshaibani Reem Sultan , Alowaidan Salwa Rashed , Alharbi Albandary Falah , Almazroa Mashaal Nasser , Alsomali Khudhrah Adam , Alonazi Fares Motalq , Alwahdani Mohammed Nuhayr , Alshammary Nasser Sihli
Published: August 2024

Background: Interprofessional cooperation (IPC) is becoming more often used but is done in various ways in primary care. Aim of Work – The goal of this study was to evaluate the efficacy of Interprofessional Collaboration (IPC) in primary care settings. Methods: A meta-analysis was conducted to provide a comprehensive evaluation of many systematic reviews. We conducted a comprehensive search across nine databases and used a rigorous double selection and data extraction approach. The patient-related outcomes were classified and the results were recorded as either improvement (+), deterioration (–), mixed results (?), or no change (0). Results: Overall, the use of interprofessional collaboration (IPC) in primary care was advantageous for patients, while the specific benefits varied depending on the kind of IPC used. While evaluations examining the use of interprofessional collaboration (IPC) in primary care, which has a broad range of applications, indicated improved care procedures and increased patient satisfaction, different forms of IPC yielded varied findings in terms of clinical outcomes, healthcare utilization, and patient-reported outcomes. Furthermore, evaluations that specifically examined treatments derived from established and well-defined frameworks, such as collaborative care, often indicated a greater number of advantages.
Integrating preventive cardiology in primary care
Authors: Alaujan Badour Subhi , Zamzami Bander Ahmad , Ababtain Hind Amer , Altalouhi Fatmah Malfi , Alshammari Munifah Hamdan , Alenizi Eman Smair , Aldossary Ghuzyel Fahad , Alshaibani Reem Sultan , Alowaidan Salwa Rashed , Alharbi Albandary Falah , Alharbi Shayem Hamdan , Alnuwmasiu Fahad Madallah , Alonazi Fares Motalq , Alwahdani Mohammed Nuhayr , Alshammary Nasser Sihli
Published: August 2024

Background: Chronic metabolic and cardiovascular multi-comorbidities are increasing, with cardiovascular disease being the main cause of morbidity and mortality in type 2 diabetes patients. Traditional healthcare systems often lack a "main" specialist coordinating treatment, leading to fragmented care and higher costs. Advances in cardiometabolic pharmacology have blurred lines between specialties, emphasizing the need for a distinct cardiometabolic specialty. This interdisciplinary approach aims to optimize treatment, improve outcomes, and reduce medical expenditure. Aim of Work: The significant prevalence of cardiovascular disease and the concurrent obesity epidemic is exerting an exceptional pressure on the healthcare system. Under the present fragmented care paradigm, patients with cardiometabolic illness get only partial care from several experts, resulting in inadequate therapy, increased expenses, and worse results. Methods: A thorough and methodical search was conducted across several databases, including PubMed (including MEDLINE), CINAHL, EMBASE, and the Cochrane database for systematic reviews. Reference lists of included papers were also examined for relevant research. Results: There is an urgent need for a new treatment paradigm that involves establishing a separate specialty focused on cardiometabolic conditions, together with a dedicated outpatient clinic that provides complete care for these conditions.
Enhancing interprofessional collaboration in medication management
Authors: Almanna Mohammad Abdullah , Alanazi Dhiyaa Manawer , Enazi Sami Mohammed Al , Alaboush Khalid Salem , Alaujan Badour Subhi , Zamzami Bander Ahmad , Alanazi Nadin Lafi , Ababtain Hind Amer , Altalouhi Fatmah Malfi , Alenizi Eman Smair , Aldossary Ghuzyel Fahad , Alowaidan Salwa Rashed , Al-Rashudi Khaled Abdul Rahman Suleiman , Alharbi Shayem Hamdan , Alnuwmasiu Fahad Madallah , Alonazi Fares Motalq , Alwahdani Mohammed Nuhayr , Alshammary Nasser Sihli
Published: August 2024

Background _ Although there is ample data supporting the positive impact of nurse-pharmacist cooperation on clinical health outcomes and cost-effectiveness in increasing drug safety among adults in acute care settings, there is a lack of research in community settings. Aim of Work – The objective is to consolidate information and examine the nurse's role in medication management during transitional care. Methods – A comprehensive systematic review was done. A systematic search was conducted in electronic databases comprising PubMed (including Medline), Web of Knowledge, Scopus, and Cinahl, covering the period from January 2010 to April 2021. covered in this study were original qualitative and quantitative research papers published in English that specifically examined the nurse's involvement in managing medications during transitional care. This covered situations when patients moved between short-term, long-term, and community healthcare settings.  Results – Through the search method, 10 papers were retrieved. These studies were published in English between the years 2014 and 2021. Their primary emphasis was on the nurse's involvement in managing patients' medications throughout transitional care in different healthcare settings. The review results were presented narratively using three categories devised by the authors, due to differences in the objectives and approaches of the chosen research.
role of healthcare professionals and telehealth in comprehensive medication management
Authors: Alharbi Shayem Hamdan , Alnuwmasiu Fahad Madallah , Alonazi Fares Motalq , Alwahdani Mohammed Nuhayr , Alshammary Nasser Sihli , Almarzouq Yousef Fahad , Almutairi Manawi Sultan , Ababtain Hind Amer , Altalouhi Fatmah Malfi , Almuhisan Fatoon Nawaf , Alenizi Eman Smair , Aldossary Ghuzyel Fahad , Alanazi Nouf Hamed , Alowaidan Salwa Rashed
Published: August 2024

Background _ Telehealth has emerged as a primary approach for providing allied health professional services on a global scale. However, many professionals lack adequate training to ensure the delivery of telehealth services of exceptional quality. Aim of Work – The purpose of this evaluation is to determine the necessary skills and abilities that allied health professionals need in order to provide telehealth services effectively. Techniques. Methods – This scoping study used the Population Concept Context framework and conducted searches in the following databases: MEDLINE, PsychInfo, CINAHL, Cochrane, Web of Science, EMBASE, PEDro, and WHO. Results – The competencies were associated with two specific areas: (1) the execution of telehealth consultations and (2) the administration of telehealth consultation services. The initial domain encompassed the subsequent areas of expertise: clinical reasoning, communication, proficient utilization of technology, patient-focused care, evaluation and intervention knowledge/behavior/skills, privacy, security, and patient safety, professionalism, and establishing the technical infrastructure. The second category included the competence topics of digital infrastructure, informing practice, and management. While the significance of telehealth competences has been highlighted by research, they have not yet been integrated into educational settings. 33.3% of the publications originated from the field of psychology.
Integrating nursing, pharmacy, and health records in Advanced Cardiovascular Life Support (ACLS) Protocols
Authors: Alshuraim Noor Fahad , Almasad Manal Nasser , Alharbi Shayem Hamdan , Alnuwmasiu Fahad Madallah , Alonazi Fares Motalq , Alwahdani Mohammed Nuhayr , Alshammary Nasser Sihli
Published: August 2024

Background: Cardiovascular illnesses are a leading cause of mortality globally, with coronary heart disease (CHD) being a common cardiovascular disorder that poses a significant health burden on communities. CHD is characterized by inadequate blood supply to the heart due to plaque buildup in the coronary arteries, resulting in chest discomfort, heart attacks, and potentially fatal outcomes. Aim of Work: The aim of the research is to recognize the risk factors contributing to CHD, explore prevention methods, evaluate suitable treatment options, and identify effective rehabilitation techniques, particularly focusing on the role of nursing care in managing patients with this condition. Methods: A comprehensive electronic search was conducted across six databases (PubMed, Web of Science, Scopus, MEDLINE, Cochrane Library, and Embase) up to 2018. The present research involved a comprehensive analysis of existing literature to examine effective nursing interventions and care strategies for patients with coronary heart disease, including monitoring, education, and emotional support. Results: Nurses play a crucial role in managing CHD by monitoring vital signs, administering medications, conducting diagnostic tests, and ensuring patients receive timely and appropriate therapies.
Improving learning through classroom experience (temperature, lighting, noise) - Final report
Authors: Villavicencio Xuzel , William Jengo Eunice , Lester Jennie , Touiyate Adnane , McBurnie Chris , Nambatya Mauricia , Haßler Björn
Published: August 2024

An output of the Open Development & Education, https://opendeved.net/
Role of Villages and Villagers in Mitigating Climate Change: Need for Re-Culturing Livelihood and Unscientific Practices
Authors:   Bangalore University, Bengaluru, Karnataka, 560056, India, Rajesh R
Published: August 2024

In the phase of global climate change, the role of villages and rural populations is increasingly recognized as both critical and complex. This paper explores the potential for villages and villagers to significantly contribute to climate change mitigation by transforming livelihoods and abandoning unscientific practices. It is argued that rural areas hold traditional ecological knowledge and practices that, if re-cultured and updated with scientific insights, could lead to substantial reductions in greenhouse gas emissions and enhance local resilience to climate impacts. The paper first examines the existing agricultural methods, energy use, and waste management practices prevalent in villages that contribute to environmental degradation and climate change. It then outlines the socio-cultural, educational, and economic barriers that hinder the adoption of more sustainable practices. Drawing on diverse case studies, we highlight how innovative policies at local, national, and international levels can support the necessary transitions. It proposes a multi-faceted approach to re-culture village livelihoods, integrating traditional wisdom with modern technologies and sustainable practices. The paper discusses the importance of policy interventions sensitive to local contexts, including the decentralization of governance, financial incentives for sustainable practices, investment in renewable energy, and the strengthening of village institutions. Furthermore, we stress the imperative of embedding climate change education within villages to foster behavioral change and empower villagers to participate in climate action actively. Our analysis concludes that villages, through re-cultured livelihoods and scientifically informed practices, can become dynamic frontiers in the global effort to mitigate climate change. Policy reforms are vital to catalyze this transition. Keywords Climate change mitigation, Traditional ecological knowledge, Sustainable practices, Rural practices, Policy interventions, Socio-cultural interventions, Education
A Conceptual Study of Dadru Kushta W.S.R. Tinea Cruris and its Ayurvedic Management
Authors:   Department of Kayachikits, Gomantak Ayurved Mahavidyalaya, Shiroda, Goa, India, Mahajan Mohit Dattu
Published: August 2024

Skin is the first and largest organ of the body interacting with environmental agents like physical, chemical & biological agents. Variations in the environmental stimuli & natural ability of the body to deal with these factors result in spontaneous remissions & relapses. Interaction with these factors results in specific reaction patterns producing characteristic skin diseases in different parts of the body. In recent years; there has been a considerable increase in the incidence of skin problems in the tropical and developing countries like India due to less immunity, unhygienic, living conditions, and nutrition. Skin is the most exposed part of the body. Patient who suffers with any skin diseases leads to experience Physical, Emotional and Socioeconomic embarrassment in his/her society from cosmetic point of view. Tinea cruris/Ringworm is one among the various skin infections which is spreading rapidly and affecting all the age group of population. In Ayurveda skin infection is termed as Twak Vikara or Kushta roga. Dadru is one among the Kushta Roga and termed as a Dadru Kushta. In modern medicine, skin fungal infection that is Tinea/Ringworm is correlated to Dadru Kushta due to similarities in their symptoms. According to most Ayurvedic texts, all types of Kushta have been considered as Rakta Doshaja Vikara. Dadru is one of the KaphaPitta Pradhana Twak Vikara. Here we are going to discuss about the Nidana, Samprapati, Lak-shnas, Chikitsa, Pathya- Apathya and preventive methods of Dadru kushta in day-to-day life.
Research on the Marketing Strategy of Girlcult National Beauty Brand
Authors: Chen Bihan , Wang Kun , Zheng Xinchi , Zheng Xiao
Published: August 2024

Generation Z is characterized by the consumption habits of pursuing quality of life and personalized expression. The consumption concept has gradually transitioned from focusing on product functions, cost performance and following Western trends to pursuing the spiritual attributes, aesthetics and cultural pride of products. " As soon as the concept of "national trend" appeared, it quickly occupied every corner of the market. National trend beauty brands with Generation Z as the main consumer target group are full of vitality by taking advantage of this consumer trend. As one of many Chinese fashion beauty brands, Girlcult is the first to create a personalized Chinese fashion girl beauty brand positioning of "weird, romantic and adventurous". Open the market quickly. The purpose of this article is to study the marketing strategy of Girlcult, a national fashion cosmetics brand, to explore ways of reference for the development of the national fashion cosmetics brand market, and to promote its rapid and healthy development.
Reliability Evaluation of Nonlinear Degraded Equipment based on Wiener Process
Authors: Liu Dong , Xin Peng , Wen Xiaoqiang
Published: August 2024

In unstable environments, many devices exhibit non-linear degradation characteristics, and their degradation rate will also change accordingly. In order to consider the degradation differences between individuals, We introduce a method for evaluating equipment reliability in the context of nonlinear degradation, leveraging the Wiener process. This technique utilizes the Wiener process to depict equipment degradation and employs a time scale model to linearize nonlinear data. At the same time, the drift coefficients of the Wiener process were randomized to propose a reliability model that considers individual differences. The unknown parameters in the model were determined by using two-stage maximum likelihood estimation, and the correctness and superiority of this method were verified through examples.
Analysis of the Chord Progression of Herbie Hancock's “Dolphin Dance”
Authors: Zhang Yitong , Hu Chao
Published: August 2024

Herbie Hancock, an outstanding jazz artist of the 1960s, with his exceptional achievements profoundly influenced the development of modern jazz. This paper aims to elucidate his unique artistic thinking and concepts through an analysis of his renowned composition “Dolphin Dance” focusing on its chord progression. By doing so, it aims to reveal his unique artistic thinking and concepts, so as to provide some assistance for the theoretical analysis and development of jazz.
Application of Machine Learning in Loan Default Prediction
Authors: Fang Jianing , Ji Zenan
Published: August 2024

Loan default prediction is critical for financial risk management, enabling institutions to make informed lending decisions and mitigate potential losses. This study aims to improve the accuracy of loan default prediction using advanced machine learning techniques. Our research objectives include developing a robust prediction model through comprehensive data analysis, feature engineering, and model tuning. Methodologically, we use iterative interpolators to handle missing values, KBinsDiscretizer for feature binning, and neural networks optimized using Bayesian methods and genetic algorithms. The results show that the optimized model can produce more accurate prediction results.
From Data to Decisions: The Integration of AI in Epidemiological Research
Authors: Li Yang , Zou Yanchen , Xu Haoqi
Published: August 2024

Epidemiological research is the cornerstone of public health and ultimately contributes to protecting human health by understanding disease dynamics, identifying risk factors for infection and disease development, and informing containment measures. Epidemiological approaches in the traditional sense are influenced by significant difficulties especially when dealing with big and heterogeneous data sets. They must confront a slow decision-making process. This paper investigates incorporating Artificial Intelligence AI technologies in epidemiological research settings to improve processing efficiency, strengthen analytical abilities, and promote evidence-based decision-making. The interdisciplinary approach of this study encompasses working hypotheses about the power and potential of AIs within epidemiology, the broad opportunities for their use across disciplines, and concurrent ethical questions raised. These case studies exemplify many of how advanced AI can now be used to monitor and detect potential outbreaks, as well as assess associated risks -- offering new hope for the transformation of public health practice. The paper concludes by highlighting the need to use AI responsibly and calling for epidemiologists, data scientists, policymakers, ethicists, and other stakeholders to work together towards realizing the potential of AI while "addressing ethical, social and technical issues".
Research on the Impact of Cultural Festivals on Urban Regeneration
Authors: Gao Xiaoqian
Published: August 2024

In recent years, an increasing number of cultural festivals have been organized around the world with the aim of revitalizing urban economies, promoting creative industries, enhancing urban social cohesion, achieving urban regeneration, and introducing or repositioning cities in an increasingly competitive global stage. Examples of using cultural festivals for urban regeneration include The Holland Festival that set up in 1947 in order to stimulate economic development of Amsterdam, the Notting Hill carnival that regularly attracts over 1 million visitors, the West End Festival in Glasgow that promote tourism development in the city, and so on. Cultural festivals have now become one of the most popular way of culturally-led urban renewal strategies. In this paper the author takes Edinburgh, which is famous for its annual festivals, as a case study. The results show that while cultural festivals bring many positive effects to urban development, they may also have the potential to bring negative effects to cities. Therefore, it is essential for cultural policymaker to carefully balance the needs of city residents and visitors in order to maximize the positive impact of the festival.
An Optimization Method for Allocating Manufacturing Enterprises' Carbon Emission Quota
Authors: Zeng Qiang , Hao Gaojie , Shen Ling , Zhang Yahong , Fang Yanfei
Published: August 2024

An optimization method for allocating manufacturing enterprises' carbon emission quota was proposed. A manufacturing enterprise's carbon emission quota allocation problem was divided into the carbon emission quota allocation problem from the group company to subsidiaries (problem 1) and the carbon emission quota allocation problem from a subsidiary to its main products (problem 2). For problem 1, a mathematical model was constructed with the optimization objective of maximizing the weighted average of the normalized values of the total profit of subsidiaries and the weighted importance of the carbon emission quota. For problem 2, a mathematical model was constructed with the optimization objective of maximizing the weighted average of the normalized value of the total profit of the products and the weighted importance of the carbon emission quota. Excel was taken as the platform to present the model in tabular form. A VBA program was designed to generate the Lingo script program and run the Lingo script program to realize the automated solution of the model. The case study showed that the method proposed in this paper can efficiently solve the problem of optimal carbon emission quota allocation for manufacturing enterprises.
Genome-wide Identification and Bioinformatics Analysis of Cotton KCR Gene Family
Authors: Xi Hongyuan , Wu Man , Hu Shoulin
Published: August 2024

3-ketoacyl-CoA reductase (KCR) is a key enzyme gene in the biosynthesis pathway of ultra-long chain monounsaturated fatty acids. Combining the sequence of KCR protein in Arabidopsis thaliana, we conducted a whole-genome identification and systematic evolutionary study of the KCR gene in cotton, focusing on Gossypium. arboreum, Gossypium. raimondii, Gossypium. barbadense, Gossypium. hirsutum. We analyzed the expression pattern of the KCR gene in high oil and low oil materials using transcriptome data and quantitative real-time polymerase chain reaction (qRT-PCR). Four KCR genes were identified in Gossypium. arboreum, four in Ramond cotton, eight in Sea Gossypium. barbadense, and eight in Gossypium. hirsutum. Systematic evolutionary analysis divided the cotton KCR gene family members into three branches, and all branches had similar conserved motifs. Some promoter regions of Gossypium. hirsutum KCR genes contained light response and drought regulation elements, suggesting that the Gossypium. hirsutum KCR gene family may play a role in stress response. Four genes were identified that showed significant expression differences in the 15 DPA of high oil and low oil seed development, indicating that GhKCR gene family members may be related to lipid synthesis metabolism. The evolutionary relationship and related functions of KCR gene family members in cotton were analyzed and predicted, which provided a preliminary theoretical basis for the study of KCR gene function in cotton.
"Algorithm Analysis and Design" Python Teaching Examples of Recursive and Partitioning Algorithms
Authors: Zhang Ying , Zhou Min , Guo Wenxuan , Zhu Ruiqi , Liufu Jieyu , Lin Jiawei , Li Zhengtao
Published: August 2024

Learning algorithm design and analysis is an essential foundation for computational problem-solving and programming. It can cultivate students' analytical and problem-solving skills, logical thinking skills and creativity. This paper shows the core ideas of recursive algorithms and partitioning algorithms and Python examples in conjunction with Python, a popular programming language, to provide adequate references for teachers and students to learn algorithm design and analysis based on the Python language.
How can Enterprise Supply Chain Management Break Through under the Background of New Quality Productivity?
Authors: Yin Xuehong , Zeng Qiuhong
Published: August 2024

With the continuous advancement of globalization and the continuous development of social economy, enterprise supply chain management is facing more and more challenges. Against the backdrop of a new round of technological and industrial transformation, the formation of new quality productivity will accelerate, and there will be both changes and opportunities in enterprise supply chain management. The article first outlines the challenges faced by enterprise supply chain management; On the premise of in-depth analysis of the internal mechanism of new quality productivity empowering enterprise supply chain management, further identify the practical challenges of new quality productivity empowering enterprise supply chain management. Finally, at the practical level, provide policy recommendations for applying new quality productivity to enterprise supply chain management, in order to better assist enterprises in conducting supply chain management and promote the process of industrial modernization construction.
Adomian decomposition method for solving fuzzy fractional Volterra-Fredholmintegro-differential equations
Authors: Chen Qin
Published: August 2024

This paper mainly studies the fuzzy nonlinear fractional Volterra-Fredholm integro-differential equations based on fuzzy Caputo derivative under the generalized Hukuhara difference. By usingSchauder fixed point theorem, the existence of solutions are proved. Because of the good convergence and convenient calculation of the Adomian decomposition method (ADM), we expand the nonlinear part of the equation into the Adomian polynomial of infinite series, and then construct the iterative sequence of the numerical solution of the equation. The effectiveness and applicability of ADM are verified by numerical examples.
Optimization Study on the Evaluation and Design of College Students' Dietary Recipes based on the Planning Model
Authors: Qian Junyi
Published: August 2024

In this paper, the optimal design and evaluation of college students' diet recipes were studied. Using the planning model method, a multi-objective optimization model was constructed with the goal of optimal protein and amino acid score and the most economical meal cost. Firstly, by establishing the objective function with protein amino acid score as the main index, combined with the principle of balanced diet optimization design, the daily diet of male university students and female university students was designed, and the dietary nutrition evaluation was carried out. Secondly, in order to pursue the economy of meal cost, an optimization model with cost minimization as the objective function was constructed, and the corresponding reasonable diet was obtained. Finally, to meet the needs of users to pursue nutrition and economy at the same time, a multi-objective optimization model was further constructed, which considered protein and amino acid scores and economy, and provided daily and weekly diet choices that were both nutritious and economical for college students.
Protein Secondary Structure Prediction based on Multi-scale Convolution and Transformer
Authors: Yang Shiwei , Chen Xiaozhou
Published: August 2024

As an important field of natural science, bioinformatics reveals various complex biological facts. The task of protein structure prediction has always been an important research topic in bioinformatics, starting from the primary structure, namely the amino acid sequence, to predict the secondary structure of proteins. In this experiment, amino acid sequences were encoded in various ways, and the encoded data were input into the constructed deep learning network to predict the secondary structure of proteins. In this paper, an MCN-T network is constructed by combining CNN and Transformer. The powerful global feature capture and parallel processing capabilities of the Transformer are combined with the efficient local feature extraction and dimension reduction capabilities of CNN. This combination enables the model to perform well in protein secondary structure prediction tasks. In the experiment, the optimal form of the model is obtained after various parameter optimization experiments. The accuracy of the MCN-T network on the CB6133_filtered dataset and the CB513 dataset is 71.93% and 67.83%, respectively.
The Application of Time Series Models in the Prediction of Hand-Foot-Mouth Disease Incidence
Authors: Zhao Nana , Lu Wenming , Zhang Zhongyuan
Published: August 2024

Hand-Foot-Mouth Disease (HFMD) is a contagious illness predominantly affecting infants and children under five years old, caused by human enteroviruses. Over the past five decades, HFMD has rapidly spread across the Asia-Pacific region, gradually evolving into a significant public health challenge for many countries within this area. Currently, HFMD has emerged as an increasingly severe public health issue in our country. Therefore, analyzing the influencing factors of HFMD and predicting its incidence trends are of paramount importance for the prevention of the disease. With the rapid advancement of artificial intelligence technology, predictive models employing deep learning techniques have demonstrated superior performance among various infectious disease prediction models. This paper aims to construct a predictive model using deep learning methods to further enhance the accuracy of HFMD incidence predictions. We compared the effectiveness of Long Short-Term Memory (LSTM) networks, Transformer, and Informer models in HFMD prediction. The research findings indicate that the Informer model, by utilizing self-attention mechanisms and convolutional neural networks, can more effectively address long-term dependencies in time series data, thereby showing better performance in HFMD prediction compared to the LSTM and Transformer models. This has led to improvements in prediction accuracy and generalization capability.
Advances in Adipose-derived Mesenchymal Stem Cells for Burn Wound Healing
Authors: Zhao Rongxin , Zhang Xiaofei , Geng Yingnan , Cao Yanyun
Published: August 2024

Burn injuries are under-appreciated injuries that involve tissue destruction associated with physiological and pathophysiological responses. The use of stem cell-based therapies has expanded in various diseases, particularly in burn wound repair. Adipose-derived stem cells (ADSCs) have recently been revealed as the regeneration medicine that affects ectodermal, mesodermal and endodermal tissue and organs for repairing damaged tissues. ADSCs can be easily harvested from adipose tissue and are widely used as research tools and therapeutics in preclinical and clinical wound healing trials. Based on the pathophysiology of three phases of burn injuries, we discussed various cell-based components and cytokines associated with ADSCs of three phases of burn injuries. In this review, recent research and therapeutic effects of ADSCs in burn wound are covered and stated separately in each phase. Based on the background knowledge, the differentiation potential and therapeutic applications of ADSCs is connected with these growth factors and cells. In addition, future direction and limits for ADSCs are mentioned in the final stage.
Analysis of the Construction of Improvisational Phrases in “All the Things You Are” by Jazz Pianist Michel Petrucciani
Authors: Zhang Runhe , Hu Chao
Published: August 2024

Michel Petrucciani, a distinguished French pianist in the 1980s, whose career and life were equally legendary, achieved remarkable feats. His renowned composition “All the Things You Are” advanced and refined the bebop language. This paper undertakes a comprehensive exploration and study of the piece, focusing on its improvisational construction of melodic lines, harmony, and rhythmic expression. The aim is to illuminate its distinctive musical style and artistic principles. By doing so, this paper aims to inspire researchers of Michel Petrucciani's improvisational style and jazz music from multiple perspectives, providing a reference for future enriching studies in jazz, thereby holding academic and practical significance in these domains.
A Delayed Mathematical Model of Population Pressure on the Atmospheric Level of Carbon Dioxide Gas
Authors: Yao Tianchen
Published: August 2024

Effective control of carbon dioxide and methane emissions is the key to controlling global warming. For this reason, a delayed mathematical model of population pressure on the atmospheric level of carbon dioxide gas is put forward. The impact of the time lag on the model and exhibition of a Hopf bifurcation at the threshold of the time lag is analyzed in compliance with the allocation of the roots of the appropriate characteristic equation. Besides, the direction and stability of the Hopf bifurcation are determined by drawing support from the center manifold method. Eventually, computer numerical calculations are conducted to validate the correctness of our obtained analytical findings.
Musical Style and Performance Analysis of Huang Zi’s Art Song Homesickness
Authors: Chen Junzao , Chen Heidi
Published: August 2024

During the social turmoil in China during the 1930s, Mr. Huang Zi wielded the sword of music to pierce the heart of the enemy, showcasing his profound patriotism. His representative work, Homesickness, expresses his longing for home and reflects the deep affection and anticipation of countless overseas Chinese for their homeland. With its well-structured composition, elegant style, and meticulous craftsmanship, the song has left an indelible mark on the history of Chinese music. With “Homesickness” as an example, this paper delves into the musical characteristics and vocal techniques of Huang Zi’s art songs, aiming to gain a more comprehensive understanding of the artistic value of this work.
Road traffic flow prediction based on neural Network
Authors: Guo Yanhong , Zhou Huan , Wan Zihan , Yang Junjie , Wang Xiaohong , Li Juan
Published: August 2024

The key to the implementation of urban traffic flow guidance system is to forecast the road traffic flow. This thesis mainly studies the prediction of traffic flow by neural network and the logical prediction of traffic flow. When the traffic flow information is regarded as a time series, the traffic flow can be regarded as a random time series, using the correlation between the data and the internal connection between the adjacent data. BP algorithm has a strong ability to deal with nonlinear problems, imitate bionic learning and self-organization, and occupies a certain advantage in dealing with nonlinear and uncertain traffic information. This paper mainly uses BP algorithm to build a traffic flow prediction model. In this paper, the traffic flow data of Minneapolis from 2012 to 2018 are preprocessed, and the traffic flow prediction model is used to make a better prediction of the traffic flow data of Minneapolis.
IDENTIFICATION OF YELLOW RUST (PUCCINIA STRIIFORMIS F.) TOLERANT SPRING WHEAT GENOTYPES AND FAVOURABLE ENVIRONMENT SUPPORTING DISEASE INCIDENCE
Authors: QAMAR M , RASHID K , KHAN TN , ABBAS SH , WAQAR S , SHAKOOR A , HUSSAIN I , ASIM M , ARSHAD M , SOHAIL M , KHURRAM MM , USMAN M , IQBAL H , VASEER SG , KHALIL MU
Published: August 2024

In Pakistan, the wheat crop faces a significant threat from yellow rust disease caused by Puccinia Striiform F. The impact of this disease on yield varies with the growth stage and the plant's vulnerability. Wheat's diverse growing conditions, favorable weather patterns, and genetic makeup make it a substantial financial and nutritional value crop. The most cost-effective method for managing this issue is cultivating resistant strains. However, resistance in any variety can be overcome by mutation, necessitating ongoing development of new varieties. Research at the National Agricultural Research Centre Islamabad involved screening 50 wheat genotypes, including commercial varieties, new lines, and landraces, over two years (2021-2022 and 2022-2023). Three genotypes, NR-583, NR-559, and NR-559, demonstrated tolerance and high yields. These genotypes showed resistance over the past two years, unlike Pakistan-81 and Galaxy 13, which remained consistently vulnerable. Additionally, an analysis of environmental conditions over the same period revealed that disease proliferation is exacerbated by temperatures ranging from 10 to 20℃, humidity levels over 80%, and heavy rainfall.
Identifying Clinical and Biochemical Predictors of Seizures in Children with Acute Bacterial Meningitis: Insights from a Cross-Sectional Study
Authors: Akram Nabeeha Najatee , Yaseen Munaf Jarallah , Nori Wassan
Published: August 2024

Background: The occurrence of seizures in bacterial meningitis is important, as it has been reported to increase the risk of complications; however, its frequency and predictors are not well studied yet. Objective: To assess the frequency, clinical, and biochemical predictors of seizures in children with acute bacterial meningitis. Method: A cross-sectional study recruited confirmed acute bacterial meningitis cases based on positive CSF culture and sensitivity among children aged 2 months to 15 years admitted to the Central Child Teaching Hospital emergency department in Iraq. Patients were divided into two groups based on seizure at presentation time. Demographic characteristics [age, gender, residence, duration of fever and disease, presenting complaints and antibiotic intake]; hematological [WBC, neutrophils] Lymphocyte, N/L ratio, packed cell volume, platelets, blood sugar, and cerebrospinal fluid (CSF) indices were compared between groups. Results: Seizures had a frequency of 18% among the 122 children and were significantly higher in younger cases with female predominance. By multivariate analysis and odds ratio (OR), predictors for seizure were as follows: CSF lymphocytes (OR=0.25, 95%CI=0.08–0.26), lethargy (OR=8.15, 95%CI=1.03-68.65), headache (OR=0.09, 95%CI=0.02-0.45), neck stiffness (OR=0.07, 95% CI=0.01-0.61) and poor feeding (OR=4.8, 95%CI=1.21–18.97). Conclusions: CSF lymphocytes reliably predicted seizures with good sensitivity and specificity of 75% and 73%. Lethargy and poor feeding had the highest odds as clinical predictors of seizures. Together, those results can help with risk stratification and allocate resources for high-risk cases to improve patient outcomes.
Aquatic Macrophytes of Betul district (Madhya Pradesh)
Authors: Kumar Anand , Tiwari Arjun , Shukla Achuta
Published: August 2024

The present paper deals with 109 species of aquatic macrophytes of Betul district as observed during extensive survey of the district during 1996-2002.
Dampak Penerapan Profil Pelajar Pancasila Dimensi Beriman, Bertakwa Kepada Tuhan Yang Maha Esa dan Berakhlak Mulia di SMP Nihayatul Amal Rawamerta Karawang
Authors: Fikhria Ratu , Rukajat Ajat , Susanto Agus
Published: August 2024

The purpose of this article is to provide an overview or situation about the impact of the application of the Pancasila student profile on this dimension at Nihayatul Amal Rawamerta Karawang Junior High School. This study uses a qualitative approach with a descriptive method. The data collection method is by observation, interviews, and documentation. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The results of the study show that the sympathy of faith is the recognition of verbal pronunciation of the truth that is special and believes it in the heart and then applies it in oneself. The dimension of fearing Allah SWT is to protect oneself from wrath by carrying out all His commands and staying away from all His prohibitions. The dimension of noble character is to do good deeds with sincerity without expecting praise from others. It is hoped that the positive impact of the implementation of the Pancasila student profile in the dimension of faith, fear of God Almighty, and noble character at Nihayatul Amal Rawamerta Karawang Junior High School will form students who have a strong character, are ethical, and play an active role in the usefulness of community life