bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing the Impact of Local Government Debt on Business Innovation in China
Authors: Ren Zhongyu
Published: January 2024

In the critical stage of China's economic development towards "risk prevention" and "stable growth", the importance of preventing debt risk and incentivizing business innovation has gradually become more prominent, so it is necessary to study the impact of local government debt (LGD) on business innovation. Based on the existing studies on the relationship between LGD and business innovation, this paper summarizes and analyzes them in an attempting to clarify the mechanisms through which LGD acts on business innovation. The study shows that LGD crowds out enterprise research and development (R&D) investment by increasing financing constraints, inhibiting business innovation by weakening enterprise risk-taking capacity, and positively and negatively affecting business innovation through debt investment in different industries and debt-service dependence. In addition, this paper shows that LGD has a stronger crowding-out effect on exploratory innovation of enterprises and on enterprises that are not state-owned, large enterprises and those located in areas with low financial levels. The above conclusions can provide reference for preventing debt risk, promoting business innovation and boosting economic development.
Analysis of the Principle and Models for FIFA World Cup Prediction
Authors: Tian Haoyang
Published: January 2024

As a matter of fact, the Word Cup predictions attracts lots of scholars on account of its complex features. In recent years, various machine learning models are proposed to realize the accurate predictions. With this in mind, in this study, the author will compare the advantages and disadvantages of five models, i.e., logistic regression, decision tree, random forest, neural network, and support vector machine, in predicting World Cup matches. The author used the results of past World Cup matches as the original dataset. After research, the author concluded that the logistic regression model was the most effective. While Neural Networks and Support Vector Machines followed closely in predictive accuracy, they also showed promising potential. Decision tree and the random forest models suffer from severe overfitting, and the author believe that these two models are difficult to apply in this field. Overall, these results shed light on guiding further exploration or World Cup prediction.
The Effects of ChatGPT on Economic Development
Authors: Wu Mengfei
Published: January 2024

ChatGPT has been the latest trend of technology which generated much debate within the society as it is impactful on the life of human beings. It integrated Artificial Intelligence and natural language processing technology, and have the ability to replace the work of human beings. As it works based on huge databased, ChatGPT is also knowledgeable in handling questions of different industries. In this paper, the effects of ChatGPT on economic development is future discussed. ChatGPT can influence the economic as it is able to bring impacts on labor market, education, technology integration, business decision and political decision. The impacts of ChatGPT can be argued to bring to both positive and negative impacts. The current characteristics of ChatGPT includes technical and data limitation, improve efficiency in multiple fields and bring to potential ethical and legal issues. The paper will further argue that ChatGPT can be integrated into the field of medical, education, and sales and marketing. By integrating ChatGPT into these field, it can increase the business model of ChatGPT, while also beneficial for the respective fields which brings to overall economical development of the society.
Analysis of Structural System Selection and Seismic Design for Modern Residential Buildings in China
Authors: Li Yu
Published: January 2024

This article aims to research and review the selection of structural systems and seismic design for modern residential buildings in China. Through a comprehensive analysis of the current research status and practical experience, it explores the application and suitable scenarios of different structural systems in seismic design. The goal of this paper is to provide guidance for architects, engineers, and researchers and promote the development of structural system selection and seismic design for modern residential buildings in China. Conclusions are drawn and future research and practice are discussed through comparison and analysis. This article will discuss the selection of structural systems in building construction, ensuring the quality of construction projects, and guaranteeing the stability and safety of the structures.
Research on Multibeam Bathymetric Strategy Based on Optimization Algorithm and Geometric Analysis
Authors: Li Mingxuan , Pan Yulong , Su Weiquan , Wen Haoxiang
Published: January 2024

This paper presents a comprehensive examination of the application of multibeam bathymetric strategies, specifically focusing on the transition from two-dimensional cross-sections to three-dimensional space. Firstly, a two-dimensional bathymetric model is established through geometric and mathematical analysis, considering the influence of the seabed slope. This allows for accurate calculation of the coverage width and overlap rate. Secondly, the model is expanded to incorporate three-dimensional sea conditions, considering multiple factors such as the relative angle between the survey line direction and the seabed slope. Lastly, an optimization algorithm is employed to minimize the total length of the survey line. The optimal solution is determined to be 206 survey lines with a spacing of 36.05m between them, resulting in a total length of the shortest survey line of 7425.7m.
Research on Cross Risk Management of Alibaba's Supply Chain
Authors: Wang Wentao
Published: January 2024

Cross-regional risk management is very key to realize the smooth and efficient circulation of goods between regions in China. Under the construction of a new development pattern with domestic circulation as the main body and domestic and international double circulation promoting each other, the cross-regional nature of supply chain network brings challenges and risks to the circulation of commodities. Innovation point of this research is to place Alibaba electrical products as the research object, through to the supply chain risk management are discussed. Policy exists between the different areas, cultural, geographical differences, these differences may cause a disruption in supply chains, delay or accuracy. Supply chain managers need to adopt a series of strategies and measures to reduce and manage cross-regional risks, so as to ensure the smooth flow of goods and promote economic development and growth. This study can also contribute to the development of the theory and practice of risk management in cross-regional supply chains.
Analysis on the Construction Safety of Hongkong-Zhuhai-Macao Cross-sea Bridge
Authors: Liang Yan , Yuan Zilin
Published: January 2024

With the continuous development of highway and bridge construction in China, the number of cross-sea projects is increasing. The large scale and bad construction environment of cross-sea bridge project put forward a severe test to the construction safety. At present, although China has completed a large number of cross-sea projects, the analysis of construction safety is still insufficient. As a large cross-sea bridge, the Hongkong-Zhuhai-Macao Bridge is representative with harsh construction environment, complex geological structure and high environmental safety requirements. Therefore, this paper takes the Hongkong-Zhuhai-Macao Bridge as an example to analyze the construction safety. Firstly, the safety of construction platforms in different sea areas are discussed, and then, the construction of bridge substructure under complex geological conditions and natural environment are also displayed. In the face of these harsh construction conditions, the Hongkong-Zhuhai-Macao Bridge has adopted some targeted schemes, which provides a good reference model for the construction safety of other cross-sea projects.
Exploring the Prospects and Development of Transforming Petrol Stations into Community Green Spaces
Authors: Li Jiahao
Published: January 2024

Against the backdrop of global climate change, environmental pollution, and the spread of new energy sources, petrol stations as a potential source of pollution are becoming an important issue in the energy transition. The aim of this paper is to explore the prospects and potential of transforming urban petrol stations into community green spaces. It also explores the possible positive impacts of petrol station transformation in terms of improving the environment and enhancing the quality of life of community residents. The research methodology covered questionnaires and in-depth interviews. The questionnaire drew on the views of community residents from a wide range of ages, occupations, and backgrounds. In-depth face-to-face interviews provide a fuller understanding of residents' expectations and needs. The results of the study show that community residents expect petrol stations to transform into community green spaces and integrate into community life. In addition, it is hoped that the transformed space sites will actively build green infrastructure and promote sustainable community development. A comprehensive analysis of the questionnaire and interview data led to the conclusion that there are challenges and opportunities for the transformation of petrol stations into community green spaces. In the future, it should continue to promote energy transformation and facilitate the transformation of petrol filling stations into community green spaces, so as to jointly enhance the urban environment and the quality of life of community residents. This research provides a useful reference for urban planning and sustainable development, expanding the perspectives and methods of urban green transformation.
YouTube’s Evolution, Marketing Strategies, and Impact on Digital Media Landscape: A Comprehensive Analysis
Authors: Zhang Jiaren
Published: January 2024

YouTube, the pioneering video social media platform, boasts a staggering 2.2 billion monthly active users, ranking as the second most-used platform globally. With 81% of U.S. adults using YouTube, its potential is undeniable. This article provides a comprehensive analysis of the rise of YouTube, its marketing strategies, and its impact on the digital media landscape. YouTube’s success stems from its openness, innovativeness, and cooperation with Google, especially in video advertising, making it a major channel for digital advertising. The article also explores the challenges YouTube faces, such as threats from competitors and user privacy and data protection issues. Finally, the article offers recommendations to address these challenges and further strengthen YouTube’s leadership in digital media. YouTube’s impact on digital marketing is undeniably cementing its status as a leading video-sharing platform and cultural phenomenon. The article aims to provide valuable insights and inspiration for digital media practitioners and researchers by delving into YouTube’s success.
Leveraging Machine Learning for Banking Innovation: Opportunities and Challenges
Authors: Zhang Zixuan
Published: January 2024

This essay gives an introduction to machine learning (ML) and how the application of it  in the banking industry. Banking businesses are now able to filter through large volumes of data and unearth priceless insights that were previously hidden in the depths of transaction records, client profiles, and market trends thanks to the use of machine learning, a subfield of artificial intelligence. By streamlining procedures, increasing decision-making across the board, and personalizing services, it promises to transform the banking sector. The ability of an institution to properly use modern technology is often the difference between success and stagnation in this transformation, which is characterized by a tangle of opportunities and challenges. The benefits and difficulties are outlined in the essay. Real-world cases on the financial institutions that apply machine learning are listed to further prove the phenomenon. Future outlook is predicted based on current state at the end of the essay. Finally, conclusion on the application, future forecast and both advantages and disadvantages are given.
Anti-Gravity System Based on Magnetic Levitation Technology
Authors: Chen Tianle
Published: January 2024

This paper presents a design of an anti-gravity system based on magnetic levitation technology. The system utilizes the force generated by magnetic principles to counteract gravity and achieve object suspension and control. The design objective is to achieve portable maglev technology for everyday use. Specific requirements include adjustable speed range, endurance time, effective suspension range, mass, control mode, safety, magnetic field strength, suspension stability, altitude control precision, resistance to strong magnetic field interference, and portability. The system structure includes suspension device, magnetic field generator, sensor, and control system. Control strategies such as PID control, fuzzy control, and sliding mode control can be employed, and signal communication can be achieved through Bluetooth, Wi-Fi, or fiber optic communication. By selecting and designing appropriate control strategies and integrating suspension, magnetic field generator, and sensor components, the anti-gravity system based on magnetic levitation technology can achieve height control and suspension stability.
Analysis of the Principle and Applications for Implementation of Quantum Dots in Optics
Authors: Zhang Qiliang
Published: January 2024

With the development of nanotechnology, quantum dots have garnered significant attention as nanomaterials possessing unique optical properties. They are rapidly finding applications in existing and emerging technologies and are poised to play a pivotal role across various domains. This study aims to delve into the optical properties, synthesis methods, and applications of quantum dots in fields such as luminescence, bioimaging, lasers, and beyond. The article commences by introducing the definition, properties, and fabrication techniques of quantum dots. Subsequently, it underscores the significance of quantum dot research, encompassing its contributions to fundamental research, advancement of high-performance optoelectronic devices, applications in biomedicine and clean energy, and facilitation of interdisciplinary collaborations. Ultimately, the article emphasizes the potential of quantum dots to drive breakthroughs in multiple realms, offering readers a comprehensive perspective on their pivotal role. This research critically analyzes the application potential of quantum dots in diverse sectors, presenting novel avenues for advancing nanotechnology and optoelectronics. These findings not only enrich the understanding of quantum dots from a scientific standpoint but also provide robust support for innovation in areas like biomedical science, energy solutions, and optical devices in the future.
The Application of SLAM in Life and Scientific Research
Authors: Song Yuanrui
Published: January 2024

This article mainly focuses on the application of SLAM in technology and provides a literature review on the following aspects: 1) The application of SLAM in automatic parking of automobiles. This includes using AVP-SLAM for high-precision automatic parking in outdoor parking lots using convolutional neural networks, and using MOFISLM for high-precision automatic parking when indoor GPS signals are poor. 2) The application of SLAM in robotics. It includes three aspects. The first is using the GMapping algorithm to construct and locate maps with high accuracy, low computational complexity, and high robustness, enabling robots to plan the shortest path in unknown environments. The second is to use ORB-SLAM2, which can handle more complex situations, to navigate medical institution robots to improve hospital efficiency and reduce disease transmission rates. The third is for robots that perform tasks in complex and unknown terrains. The improved version of LAMP1.0, LAMP2.0, which is suitable for complex underground environments, can achieve multi robot collaborative cooperation with high accuracy and robustness. 3) Application of SLAM in the field of unmanned aerial vehicles. This article mainly elaborates on four aspects. The first is to use visual SLAM to achieve collaborative work between ground robots and drones, and to utilize the high camera advantage of drones to quickly build maps for ground robots, improve accuracy, and save time. The second is to utilize the application of VSLAM on unmanned aerial vehicles to contribute to agriculture. The third is ORB-SLAM3 to provide rapid and high-precision landing on deck for unmanned aerial vehicles in maritime missions. The fourth is using SLAM to assist unmanned aerial vehicles in landing in emergency or position situations (such, when GPS signals are lost).
SWOT Analysis of PepsiCo
Authors: Xie Xinxuan
Published: January 2024

This paper demonstrates a comprehensive SWOT analysis of PepsiCo, which is one of the most prominent beverage companies in the world. SWOT analysis is a strategic tool to profile an organization from four aspects: strength, weakness, opportunity and threat. The paper aims to present PepsiCo's current situation in the market with more clarity, including financial statement analysis and competitive factors. The financial statements include total revenue, gross profit, total cost, total assets from 2019-2022, as well as calculations of growth rate of gross profit, growth rate of total cost, cash proportion, accounts receivable proportion, total liability proportion. Based on the analysis, several recommendations are proposed for PepsiCo. The suggestions are consisted of regional strategies, emerging markets and technologies, new regulations and risk aversion. The findings of this study contribute to the strategic decision-making process for PepsiCo and provide insights into the company's position within the food and beverage industry. The SWOT analysis serves as a valuable tool for identifying strengths to capitalize on, weaknesses to address, opportunities to exploit, and threats to mitigate. By aligning its strategies with the findings of this analysis, PepsiCo can enhance its competitive position and achieve sustainable growth in the global market.
Digital Transformation in The Luxury Industry: Strategies, Challenges, And Opportunities
Authors: Liu Yueyue
Published: January 2024

With the rise of mobile Internet and social media, digital channels have become a new way of communication between enterprises and consumers. Digital marketing has replaced traditional marketing and become one of the most widely covered and most influential publicity models. The luxury goods industry is also facing tremendous changes and challenges while ushering in new opportunities. This article first introduces the different categories of digital marketing, including website promotion, search engine marketing, social media marketing, etc., and emphasizes the uniqueness and aesthetic requirements of luxury marketing. The paper further explores the key factors of digital marketing, including using big data to accurately position brand image and customers, learning and utilizing digital technologies, developing e-commerce, redefining luxury experience standards, selecting appropriate media platforms and online interactive activity design, and providing beneficial digital content to enhance customer interactions, implement omni-channel marketing, and more. Finally, the article emphasizes the need for luxury brands to integrate digital transformation into daily business operations and solve the challenges faced by digital acceleration, including budget allocation, digital talent recruitment and training, technology bottlenecks.
How the American and Chinese Customers Differ: Income, Consuming Behavior and Asset Allocation
Authors: Song Zhuoqi
Published: January 2024

This paper undertakes a meticulous comparative analysis among incomes, consumer behaviors and asset allocations in the United States and China against a backdrop of globalization and economic diversification. It delineates the interplay of demographic trends, urbanization, educational attainments, stock market dynamics, real estate and other factors in shaping consumer preferences and financial strategies in both nations. Central to the findings is the pivotal role of age distributions and educational backgrounds in guiding consumption habits, unveiling a nuanced tapestry of generational and intellectual influences on market demands. Additionally, stark contrasts are observed in asset allocations, particularly in the stock and real estate markets, driven by disparate market maturities, regulatory landscapes, and systemic structures. This research holds substantial significance in enriching the global understanding of cross-national consumer behaviors, uncovering intricate factors and innovative insights that characterize the economic activities of two powerhouse economies. It yields valuable policy recommendations, advocating for enhanced financial literacy and diversified investment avenues to bolster consumer resilience and economic sustainability. Tailored strategies for nurturing educated consumption, investment diversification, and nuanced policy formulations are pivotal for leveraging the profound insights unearthed in this study.
Inflation-Driven Derivative Investment Strategies: A Comparative Analysis of Chinese and US Enterprises in 2022
Authors: Bao Suyala
Published: January 2024

Affected by the COVID-19 epidemic, the Russia-Ukraine conflict, climate change and other reasons, the global economy has shown an inflationary trend. In the context of inflation, governments and companies will bear different levels of risk. As a hedging tool, derivatives have become an important tool for all asset owners to fight against inflation risk. Through the comparative analysis of the derivative investment strategies of multiple enterprises in China and the United States in 2022, this paper tries to obtain the types of investment strategies of enterprises using derivative investment to combat inflation risk under the inflation. It has been observed that in 2022, enterprises primarily face inflation risks related to exchange rates, interest rates, and depreciation of enterprise value. In order to mitigate these risks, the formulation of the enterprise's derivative investment strategy takes into account various factors such as the enterprise's production and operation strategy, regional standard systems, and currency settlement types. Finally, based on comparative analysis, it is posited that enterprises exhibit a greater inclination towards employing interest rate and exchange rate derivatives as a means to mitigate inflation risk. In contrast, general investors can derive enhanced hedging functionality by utilizing commodity options and futures. However, when employing financial derivatives for investment purposes, one must consider the integrity of the derivatives market as well as the positioning within the industrial chain.
Analysis Of Nike Brand Operation and Marketing Strategy in Different Business Periods Based On 4P Marketing Theory
Authors: Hou Qingyu
Published: January 2024

This article presents a comprehensive overview of Nike's evolution, tracing its origins in the 1960s to the contemporary marketing challenges it faces. It delves into Nike's formative years, characterized by the successful introduction of groundbreaking sneakers and the formulation of distinct marketing tactics. The article underscores Nike's foray into the running market, emphasizing the promotion of a healthy and active lifestyle. Furthermore, it dissects Nike's pricing strategies and the establishment of retail stores as pivotal distribution channels. Transitioning into the illustrious era spanning 1990 to 2010, this article scrutinizes Nike's pinnacle marketing strategies. These include celebrity endorsements, poignant storytelling, and premium pricing aimed at elevating brand perception and desirability. However, it also candidly addresses Nike's recent challenges, marked by difficulties in sustaining market leadership, stemming from a perceived lack of innovation and intensifying competition from rival brands. This analysis underscores the imperative for Nike to reinvigorate its marketing approach and rekindle its innovative spirit. In conclusion, the article underscores the significance of differentiation as a core strategy for Nike's resurgence. It advocates for embracing the Direct-to-Consumer model, enhancing the online shopping experience, and prioritizing social responsibility to enhance brand image and regain a dominant position in the fiercely competitive sporting goods market.
The Impact of FDI on Labor Productivity in China: Evidence from Panel Data 2003-2020——A Study on Fiscal Decentralization as a moderating variable
Authors: He Jiawei
Published: January 2024

Based on the panel data of China’s 30 provinces, autonomous regions, and municipalities (hereinafter referred to as provinces) from 2003 to 2020, this paper empirically analyzes the impact of foreign direct investment (hereinafter referred to as FDI) on labor productivity by constructing a fixed-effects model, and further constructs a model to test the moderating effect of fiscal decentralization on the above two variables. The study shows that: 1) China's FDI has a positive promotion effect on labor productivity. 2) Taking 2008 as the boundary, the effect of China's FDI on labor productivity has significant stage heterogeneity. 3) Fiscal revenue decentralization and fiscal expenditure decentralization both positively regulate the relationship between FDI and labor productivity. Therefore, the Chinese government (as well as the governments of other developing economies around the world) needs to consciously introduce high-quality FDI that is suitable for the country's current development situation and to give local governments the right to select and introduce FDI that is suitable for local development to realize high-quality economic development.
Analysis of Structural Parameters for a Multi-Row Inclined Side Hole Muzzle Brake in an Airplane Gun
Authors: Qiu Ming , Xie Hao , Tao Yuxiang , Deng Zilong , Song Jie
Published: January 2024

In response to the low efficiency of a muzzle brake for a certain 30 mm airplane gun, a new type of muzzle brake with side ports tilted towards the rear of the barrel is proposed. Taking the flow state of the internal gas at the moment the projectile reaches the muzzle as the initial condition, a dynamic mesh method combining polyhedral stationary region and hexahedral structured mesh moving region is used to perform three-dimensional numerical simulation of the muzzle brake flow field considering the motion of the projectile. The influence of the number of side port rows and the angle of inclination of the side ports on the brake efficiency is analyzed. The results show that within a certain range, the brake efficiency increases with the increase in the number of side ports, but the increment gradually narrows. When the number of side port rows is 6, the brake efficiency can be increased to 42.3%. With the increase of the side hole inclination Angle, the braking efficiency increases first and then decreases. The optimal angle for this muzzle brake is between 115 degrees and 135 degrees. This study provides a reference for accurate efficiency calculation, design, and optimization of the new multi-row inclined side port muzzle brake.
Unveiling The Gravitational Waves: Nature, Detection and Applications
Authors: Wang Qingrong
Published: January 2024

The detection of the gravitational wave has shifted the general understanding in physics by providing a piece of evidence for Theory of general relativity. Further, it has opened a new window for scientists to observe the universe and discovery new mechanism. The gravitational waves are incredibly faint by the time they reach earth and there are various sources of noise that causes interference in the gravitational wave signals. However, it would be challenged to isolate these noises in practice. The article will first explain the fundamentals of the gravitational waves, for example, the origin and nature of the gravitational waves. Secondly, the article will explain the approach that scientists took to detect the gravitational wave, which is the famous Laser interferometer gravitational-wave observatory. Finally, the future application of gravitational waves for future astrophysical research on the infant universe is also provided. This article will explain the above by previous hypothesis and recent research in physics.
A, The IMPLEMENTATION OF CLEAN AND HEALTHY LIVING BEHAVIOR THROUGH HAND HYGIENE WITH 6 STEPS OF HAND WASHING AS PREVENTION OF DISEASE TRANSMISSION
Authors: Seran Adriyani Nahak
Published: January 2024

School as an institution that has an organization that has a curriculum as a form of activity that is neatly planned and arranged (Nurochim, 2019). Health Education (PENKES) is given to children with the aim of improving healthy living habits so that they can be responsible for themselves and their environment as well as participating in health-related activities (Mardhianti, 2013), (Rindafit, 2015). Hands are a part of the body that comes into direct contact with dirt, the habit of children who do not wash their hands after contact with dirty objects causes the entry of bacteria into the body, the result is that diseases will be lodged in the child's body such as worms, diarrhea, cough, and other infectious diseases. Health education about hand washing is important to be given to children to foster clean and healthy living behavior. Hand washing with soap is one of the actions of clean and healthy living behavior (PHBS) which aims to break the chain of disease spread through direct or indirect contact so as to prevent disease transmission. The purpose of this activity is expected to increase understanding and awareness in children to wash their hands based on hand washing steps to improve health status and prevent infectious diseases.
THERAPEUTIC EFFECT OF MORINGA LEAF DECOCTION TO DECREASE BLOOD SUGAR LEVELS AND HBA1C VALUES OF DIABETICS TYPE II DIABETES MELLITUS AT KARANG PANJANG AMBON HEALTH CENTER
Authors: Ratissa Marleng
Published: January 2024

Abstract
Type 2 Diabetes (T2DM) is the most common type of diabetes and is still become one of the causes of death. One way of managing T2DM is mostly by controlling blood sugar, HbA1c levels, developing a healthy diet and herbal alternative therapies. One intervention that does not require expensive costs can be done to improve treatment outcomes in patients with T2DM by controlling blood glucose levels and HbA1c is through moringa leaf decoction therapy. Moringa oleifera (Moringa oleifera) contains and benefits from moringa leaves which have high nutritional value, are rich in minerals, vitamins, and other important phytochemicals. Extracts from the leaves are used to treat malnutrition, as a potential antioxidant, anticancer, anti-inflammatory, antidiabetic and antimicrobial agents.
This study aims to analyze the therapeutic effect of moringa leaf decoction to decrease blood sugar and HbA1C levels of Type II diabetes mellitus patients in Karang Panjang Ambon Health Center. Sampling technique using consecutive sampling in one intervention group. The study was conducted for seven days with the number of subjects involved in this study as many as 27 people who were measured blood sugar levels and HbA1C before and after treatment.
This study is a type of quantitative research using pre-experimental approach one group pre-post design. The results of the study obtained the value of SIG 0.000 < 0.050 this states that there is a significant effect of moringa leaf decoction therapy to reduce blood sugar levels and HbA1c values in patients DM Type II
 
Keywords: moringa leaves, diabetes mellitus Type II, blood sugar, HbA1c
Wicked Solutions for Wicked Problems
Authors: Steinhall Natasha , McPettit Rebecca , Bond James , Parks Michelle , Khan Mahwish , Sharfarz Daniel , Cabrera Laura , Cabrera Derek
Published: January 2024

“Wicked problems” are often thought of as a situation that should not exist or an inescapable consequence of complex systems. This paper argues for a paradigm shift in instead understanding wicked problems as feedback from the system (i.e., the real world), resulting from a misalignment between our mental model of the system and the system itself, rather than inevitable outcomes of complex systems. Through a systems literature review (SLR) on effective policy and two surveys sampling the US population in order to understand how people are thinking about today’s biggest crises, this paper explores the prevalence of this traditional approach to problem solving. Essentially, wicked problems are the real-world system informing us that our mental model is flawed. When confronted with wicked problems involving webs of causality (as all wicked problems do), people often fail to recognize the needed solutions as a corollary web of actions, instead emphasizing linear causal relationships, or “root causes.” This problem-solving approach has significant consequences, as it overlooks the symmetry between the web of causality generating the problems and the web of solutions that would remedy them. This oversight leads to the implementation of partial solutions divorced from the dynamacy of interaction effects, which in turn leads policy and decision makers to conclude that critical parts of a web of solutions have been ineffective, and thus excluding them from future interventions. This is especially relevant for influential policy makers, planners, and decision makers. However, changing this mindset is in itself a wicked problem. The traditional approach to problems and systems is ineffective, necessitating a more systemic approach to policy. Our statistically significant findings confirm the prevalence of the traditional approach, prompting the recommendation for a more holistic education in critical analysis and systems thinking to address the web of causes that produce “wicked problems.” This is particularly critical for individuals being trained for careers in policy and planning.
Analysis of Brush Seal Interaction with Steam Turbine Rotor-Shafts
Authors: Omenife Nonso , Desai Dawood , Dunne Regan
Published: January 2024

High-speed turbines are a major source for power production. They utilize high pressure and temperature fluid flow. Sealing of these machines to decrease the flow losses has been a major engineering challenge since the inception of steam turbines. From an engineering viewpoint, seals are used to introduce friction in the fluid flow path. This reduces the flow leakage. Improved seal performance offers substantial opportunities for turbine performance. Reduced leakages in steam turbines can lead to greater efficiency and power output. They can also allow tighter control of turbine secondary flows. However, sealing these machines is a major challenge. There are several seal locations on a steam turbine that have significant performance derivatives. These include the interstage shaft packing, the end packing, and the bucket tip seals. Brush seals are ideal for these locations because they can reduce the flow losses. This study analysed the efficiency of the steam turbine by using ANSYS APDL. It assessed the leakage performance of the brush seal for different cases and geometries. It also used porous medium modelling of the bristle pack to provide insight for designers. The outputs of interest were the rotor-shaft temperature and the efficiency of the entire turbine with the brush seal.
Breastfeeding Knowledge Amongst Healthcare Professionals at AlJalaa Maternity Hospital Tripoli-Libya
Authors: Fituri Najwa A. , Dafer Naima S.
Published: January 2024

Breastfeeding support from healthcare professionals influences a mother’s decision to initiate and maintain exclusive breastfeeding. Objectives: To assess the level of knowledge on exclusive breastfeeding (EBF) among healthcare professionals in Aljalaa maternity hospital in Tripoli –Libya. Materials and methods: Across-sectional study was performed between March to April 2021. Study subjects included health professionals working in the Aljalaa maternity hospital. A questionnaire was used to collect data. SPSS 22 package program was used for statistical analysis. Results: A total of 118 health care professionals participated in this study. The majority of the participants52.5% was nurses and midwives, 86.4% were females, with mean age 37.43±9.37 and 82.2% were resident with more than ten years of experience. Health care professionals had adequate knowledge about BF initiation, duration and complementary feed. However, 78.8%% of the providers didn’t know about the frequency of breastfeeding (BF). The majority of the participants knew about breast milk sustainabilitybut,81.4% didn’t know about cracked nipple management. Health care professionals have good information about BF contraindications, the majority75.4% of the provider's answered diarrhea is an indication to stop breastfeeding, and 65.3% answered small breasts affect breastfeeding. The mean score of the professional’s healthcare knowledge was 54.36 ±13. Conclusion: The level of breastfeeding knowledge of health care professionals was fair with deficits in the important key areas. Immediate training and continuing medical education for health workers will help improve mother and newborn health
Correlation between glycated hemoglobin HbA1c and serum lipid profile in patients with type 2 diabetes
Authors: Alboueishi Asmaa , Lamami Yosra , Aldeeb Huda , Dali Mohammed , Omar Fawzi
Published: January 2024

Background: Hyperlipidemia is a common risk factor for diabetes that leads to cardiovascular disease, one of the causes of death of diabetic patients. The aim of this study was to investigate the association between HbA1c levels and serum lipids in Libyan patients with type 2 diabetes. Material and methods: The study was conducted in 2019 on 325 patients (174 males, 151 females) with type 2 diabetes referred to a private clinical laboratory in Tripoli, Libya. Blood samples were collected for measurement of HbA1c, fasting blood glucose and serum lipid concentrations. Diabetes was defined according to the American Diabetes Association criteria. The data were analyzed using an independent t-test and Pearson’scorrelation test. Results: The ages of the patients ranged from 40 to 83 years, with a mean of 51.52 ± 14.32 years SD. No significant correlation between HbA1c and age was noted (r=0.011, p=0.063). There was a significant positive correlation betweenHbA1c level and fasting blood glucose (r =0.641, p=0.000), low-density lipoprotein (r = 0.240, p = 0.000), total cholesterol (r = 0.223, p = 0.000) and triglycerides (r=0.140, p 0.067). The correlation between HbA1c and high-density lipoprotein-C was negative but not significant (r= -0.088, p = 0.123). Conclusion: HbA1c could be used as a predictor of dyslipidemia and thus it may serve as an indicator of the development of cardiovascular disease in patients with type-2 diabetes mellitus
LEGAL ASPECTS OF SPORT: A STUDY OF THE SAMBO
Authors: Zholdasbay Assan
Published: January 2024

Modern sport is a unique phenomenon that combines economic, social, cultural, political and other dimensions. Therefore, the regulation of relations arising in the field of sport, which are diverse in their content, is equally important. This study is stipulated by the need for a comprehensive understanding of the specifics of regulation of legal relations in the field of sport by studying the aspect of sambo within the framework of the theoretical and legal approach. This need is actualised by the increasing frequency of performances of Ukrainian athletes in the international arena. The importance and role of sport is gradually increasing, and the list of sport is also growing. In this regard, the need for high-quality regulation of relations and research into the prospects for the development and improvement of this area has become increasingly important. The purpose of the study is to analyse and consider legal aspects in the field of sport, with a focus on sambo, which will allow determining the legal framework and identifying areas for improving the regulation of sport in Ukraine. The main research methods are dialectical, abstract and logical, morphological analysis, analysis and synthesis, hermeneutic, systemic, and modelling methods. The study analyses international and national legislation in the field of sambo; examines the activities of certain international organisations in the field of sambo; and identifies problematic issues and ways to solve them in the regulation of sambo in Ukraine. Potential areas for future research include the analysis of the experience of other countries in the regulation sambo for the possible introduction of best practices; study of the interaction between public authorities and sport federations in the context of sambo; study of the effectiveness of anti-doping control measures in sambo and their impact on athlete health; and study of the effectiveness of measures to prevent and combat doping.
Faktablad – Resultat från övervakningen av kustfisk : Barsebäck (Öresund) 1999–2019 och 2021– 2022
Authors: Falk Alexandra , Käll Filip , Eiler Stefan M. , Jacobsson Victor
Published: January 2024

• Provfisket i Barsebäck har utförts med ryssjor i augusti varje år sedan 1977, förutom 2020. Från och med 2021 utförs fisket med reviderat provfiskemetod. Fisket var ursprungligen en del av kontrollprogrammet för kärnkraftverket. I detta faktablad presenteras resultat från år 1999 och framåt, eftersom effekten från de numera stängda reaktorerna varit obetydlig från det året. • Omgivningsfaktorerna temperatur, salthalt och siktdjup vid fiske har fluktuerat under åren 1999–2022 utan att några trender kan urskiljas. • Resultaten visar att det kustnära fisksamhället i Barsebäck har förändrats sedan 1999 där antalet mesopredatorer (icke-rovfisk) har ökat. • Stor fisk i fångsten har oftast varit ål eller torsk. Ål har bortsett från 2005 och 2010 varit talrikast i fångsten sett till individer över MRB (minsta referensstorlek för bevarande). • Det totala antalet fiskar i fångsten har ökat under perioden 1999–2019. Detta förklaras av att flera arter som skrubbskädda, abborre och tånglake visar en ökande trend. • Den vanligaste arten i fångsten, med avseende på antal, har varit strandkrabba som i snitt svarat för 75 procent av fångsten. Den vanligaste fiskarten till antalet har varit ål (gulål och blankål) tätt följt av tånglake, skrubbskädda och torsk som vardera stått för 3–4 procent av fångsten. • Fyra arter som har förekommit i fångsten återfinns på ArtDatabankens rödlista (version 2020): torsk, lyrtorsk, vitling och ål. • Under provfisket 2021 och 2022, som utfördes enligt den reviderade provfiskemetoden, har ansträngningen minskat och fler djupstrata tillkommit. Shannon-Wieners diversitetsindex låg 2021-2022 på liknande nivå som provfisket enligt den äldre fiskemetoden 1999-2019. • Den invasiva främmande arten svartmunnad smörbult fångades för första gången i Barsebäck 2021 och återfanns i fångsten 2022.
MOTIVAÇÃO DOS VOLUNTÁRIOS EM PROJETOS SOCIAIS
Authors: Godinho Lara Ariane de Freitas , De Souza Júnior Armando Araújo , Moraes Ana Flávia de Moraes , Mendes Sérgio Augusto Torres
Published: January 2024

O trabalho voluntário envolve pessoas que doam o seu tempo para uma causa social sem esperar nenhuma recompensa monetária, são eles que ajudam os projetos sociais, visto que estes surgem para suprir as carências da comunidade e em sua maioria não tem apoio governamental. O objetivo desta pesquisa foi investigar as motivações que levam os voluntários a se envolverem nos projetos sociais, especificamente, identificar quais os fatores motivacionais predominantes e analisar os motivos para sua permanência nestes projetos. Foi utilizada uma estratégia de pesquisa qualitativa de natureza exploratória através de entrevistas semiestruturadas, aplicadas a oito voluntários do PROEM (Projeto de Ensino Musical) desenvolvido na cidade de Manaus (AM). Os dados obtidos foram tratados através da análise de conteúdo. Os resultados apontam que as principais motivações são altruístas, podendo até ser egoístas, assim como, há fatores externos e internos que contribuem para sua inserção no projeto. Foi possível identificar também motivações ligadas a crenças e influência de terceiros que contribuem diretamente para a participação e permanência nos projetos sociais.
Zur Einheit der vorkapitalistischen Klassengesellschaft
Authors: Brentjes Burchard , Mohr Hubert
Published: January 2024

Beitrag von Burchard Brentjes, mit Diskussionsbemerkungen von Hubert Mohr
Measurement Invariance of Early Development Instrument (EDI) Domain Scores Across Gender and ESL Status
Authors: Mousavi Amin , Krishnan Vijaya
Published: January 2024

The Early Development Instrument (EDI) is a widely used teacher rating tool to assess kindergartners’ developmental outcomes in Canada and a number of other countries. This paper examines the measurement invariance of EDI domains across ESL status and gender by means of multi-group confirmatory factor analysis. The results suggest evidence of measurement invariance for physical health and well-being, social competence, emotional maturity and language and cognitive development domains. Moreover, the communication skills and general knowledge domain did not show acceptable fit in terms of RMSEA. The results and potential explanations are discussed.
Generation of Signals Related to Different Cellular Generation Using GNU Radio
Authors: Journal IJSREM
Published: January 2024

Abstract—This study focuses on the generation of signals at frequencies associated with various cellular generations, accompanied by an analysis of their corresponding wavelengths. In this, GNU Radio Companion, an open-source software toolkit, is utilized as a primary tool for signal processing and analysis. The objective is to explore and comprehend the characteristics of signals pertaining to diverse cellular generations, including 1G, 2G, 3G, 4G, and 5G networks. The objective lies in creating signals representative of each cellular technology, enabling a detailed investigation into the respective wavelengths associated with these frequencies. The utilization of GNU Radio Companion facilitates efficient signal generation and robust wavelength analysis, providing valuable insights into the propagation characteristics and spectral properties of signals employed in different cellular communication standards. Through this exploration, the study aims to elucidate the relationship between frequency, wavelength, and cellular communication technologies, contributing to a deeper understanding of wireless communication systems and their evolving standards. Keywords—Cellular Generations, Signal Generation, Wavelength Analysis, GNU Radio Companion, Wireless Communication, Signal Propagation.
Pendekatan SDLC dan Metode Waterfall Untuk Pengembangan Aplikasi E-Arsip Dokumen Nasabah Pembiayaan
Authors: Agustama Armanda Akbar , Wulandari Andini , Armansyah Armansyah
Published: January 2024

Dalam kegiatan bisnis, dokumen penting merupakan aset yang perlu dipertahankan karena merupakan komponen pembentuk sejarah bagi suatu perusahaan. Dalam bidang perbankan, dokumen nasabah pembiayaan termasuk dokomen penting yang dimaksud. Karenanya dokumen tersebut perlu mekanisme pengarsipan yang tepat. Pengarsipan dokumen di Bank Syariah Indonesia KCP Medan Pulo Brayan masih menerapkan cara konvensional. Pengarsipan dengan cara ini, dapat menimbulkan penumpukan arsip dan resiko kerusakan karena satu dan lain hal. Penelitian ini bertujuan untuk mengembangkan aplikasi e-arsip dokumen nasabah pembiayaan yang akan membantu mengantisipasi kelemahan cara konvensional tersebut. Pengembangan aplikasi ini menggunakan pendekatan System Development Life Cycle dengan metode waterfall. Berdasarkan evaluasi yang telah dilakukan bersama calon pengguna akhir aplikasi e-arsip ini, disimpulkan bahwa sistem dapat digunakan dan relevan dengan kebutuhan