bluuebunny/crossref_metadata_2025 huggingface dataset:
A historical analysis of the independent development of calculus by Newton and Leibniz
Authors: Li Jinxi
Published: January 2024

This paper undertakes a historical investigation of the separate and independent development of calculus by Isaac Newton and Gottfried Leibniz in the late 17th century. Through analysis of primary sources and historiographical perspectives, it explores the differences in notation, methods, and applications used by each mathematician to formulate foundational concepts of calculus. The research demonstrates that Newton relied more on geometric intuition, developing calculus concepts like fluxions and fluents rooted in kinematic problems. His 1687 Philosophiae Naturalis Principia Mathematica synthesized many calculus innovations. Meanwhile, Leibniz approached calculus from an algebraic mindset, utilizing infinitesimal differentials and comprehensively explaining integral and differential calculus in publications like Nova Methodus pro Maximis et Minimis. Evaluation of letters and documents from the 1670s and 1680s shows no direct collaboration or communication about calculus between Newton and Leibniz. This lack of transmission, coupled with the disparities in their notation and calculus techniques, provides evidence for independent creation. However, Newton and Leibniz shared key insights regarding rates of change, derivatives and integrals, hinting at a broader zeitgeist in early modern mathematics and science. Thus, this dual achievement illustrates how the Scientific Revolution facilitated conceptual convergence despite geographic separation between great thinkers. Investigating this case study offers perspective on the interplay between individual genius and wider social contexts in driving scientific progress. This paper concludes by assessing the legacy of the Newton-Leibniz debate over priority and analyzing work that paved the way for modern unified calculus notation and applications.
Beyond the finite: An exploration of infinite-dimensional vector spaces
Authors: Zhu Jenny
Published: January 2024

In this paper, we delve deeply into the intricacies of linear algebra, with a focus on the progression from finite to infinite-dimensional vector spaces. Starting with the foundational concepts, we define vectors, vector spaces, linear combinations, and basis. The importance of infinite-dimensional vector spaces is emphasized, particularly their role in better understanding and modeling complex mathematical phenomena. Through well-illustrated examples, we guide the reader on how to validate if a given set can be classified as a vector space. Additionally, the methodology to identify bases for these vast spaces is discussed in detail. Reduction methods also play an important role in determining bases for infinite-dimensional spaces. In our conclusion, we reflect on the evolution from basic vector concepts to the more nuanced understanding of infinite dimensions. This progression not only deepens our understanding of vectors but also sets the stage for advanced investigations into linear relationships and transformations. By bridging the gap between elementary vector knowledge and advanced infinite-dimensional spaces, this paper makes a notable contribution to the ever-evolving field of linear algebra, serving as a valuable resource for both students and practitioners.
The research of analysis lung, bronchus and trachea cancer death rate in US
Authors: Zhang Xidan
Published: January 2024

This research delves into an analysis of lung, bronchus, and trachea cancer rates in the United States across genders. Employing the data spanning seven decades (1950-2020) sourced from the Our World in Data website, the study leverages time series modeling techniques, ARIMA and ETS models. The ARIMA methodology initiates with an assessment of data stationarity, followed by differencing procedures to transform the dataset into a non-stationary data. Subsequently, Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots are examined. Last, the ARIMA model is fitted to dissect the mortality rates among males and females. Simultaneously, the ETS model is directly applied to the mortality data of both genders. The components of the ETS model and the check residuals for ETS are delineated. The outcomes reveal the trends: both genders exhibit a discernible decline in lung, bronchus, and trachea cancer death rates over the period. Despite this downward trajectory, the persistent mortality rates underscore the gravity of the issue. This paper advocates for a heightened focus on lung-related cancers. Understanding and addressing these mortality rates are imperative.
Application of dynamic models in forecasting the total population of the United States
Authors: Li Hongyi
Published: January 2024

Dynamic models have been widely cited in predicting criminal population, residential electricity consumption, food prices and other objects. However, for total population predictions, dynamic models are rarely used. In this study, we will analyse the relationship between 13 variables such as CPI, grain prices, and medical expenditures and the total population of the United States, then combine it with the ARIMA model to generate a time series dynamic regression model. The conclusion is that, according to the parameters of the final model, two predictors (CPI and the number of crimes) and one interaction term (the product of the poverty rate and unemployment rate) are significantly related to changes in the population. Ultimately, the model performed well on the test set and was remarkably accurate for population prediction five years later. This report screens various factors influencing the total population and provides a broader background for applying dynamic models. In addition, this study also provides directions for subsequent research on more efficient dynamic models.
Research on the application of mathematical modeling in tumor immunology in the context of chemotherapy
Authors: Zhou Jiaming
Published: January 2024

Cancer is not only a highly detrimental disease but also a particularly grave health concern. Moreover, the current incidence and mortality rates in our country are far from encouraging, making the prevention and control situation very challenging. Therefore, identifying the most scientific and effective treatment methods has become one of our primary research focuses. This paper, building upon previous models and incorporating resistance factors, categorizes tumor cells into those that are sensitive to chemotherapy drugs and those that become resistant. Using MATLAB, we have adjusted various sensitivity parameters in the model to simulate the number of tumor cells over 40 days. This simulation aims to analyze the sensitivity levels of tumor cells to different parameters upon the inclusion of resistance factors. The initial data used for the simulation were derived from the original paper. Ultimately, our findings indicate that tumor cells are most sensitive to the chemotherapy drugs killing rate for normal tumor cells and the decay rate of the chemotherapy drug. Due to the drug resistance factor, the sensitivity of different parameters is influenced. For parameters related to chemotherapy drugs, the final results, when incorporating this factor, may deviate significantly from those of previous models without this factor. For instance, the decay rate of chemotherapy drugs might result in a larger total number of tumor cells or a steeper trend compared to previous findings.
The comprehensive analysis of Googles stock using ARIMA model
Authors: Zhang Yijie
Published: January 2024

Predicting stock prices has long been a subject of keen interest due to its financial implications and inherent complexity. The examination of existing literature suggests the need for a focused study encompassing a diverse spectrum of stocks within a specific sector. In this research, the author evaluates the efficacy of the AutoRegressive Integrated Moving Average (ARIMA) model in forecasting Googles stock performance. The data used in this paper comes from the Chinese corn market price of 2018 to October 2023. The selection of the ARIMA model is based on its widespread acceptance and straightforward nature. This paper also explores how the accuracy of predictions is influenced by various historical data points. Simultaneously, the projections indicate that Googles stock is poised for continued growth in the upcoming weeks. This investigation aims to provide valuable insights into the stock markets behaviour, particularly within the context of Google, by leveraging the ARIMA models capabilities.
Unmanned aerial vehicle face recognition technology research progress
Authors: Hao Jiakang , Zhu Xinglu
Published: January 2024

In recent years, face recognition technology has become a significant advance in the area of biometrics and machine vision. It paves the way for a wide range of applications, including security systems, access control, surveillance, and user authentication. These applications are undoubtedly a major innovation in the field of UAV, which will greatly expand and extend its application scenarios. This paper shows a compositive review of UAV facial identification technology, including its basic principles, techniques, challenges, and ethical considerations. According to the different stages, this paper focuses on RCNN and YOLO, two more widely used target detection technologies and their respective technical iterations, and through the comparison of the two in terms of technical characteristics and application scenarios, the advantages of the two are obtained, and combined with the current UAV workflow. Get the stage in which they play a specific role. This paper reviews the existing literature and research on face recognition, aiming to help people better understand the current process of this technology and its wider social application and impact.
New usage of telemetry for anti-cheating in FPS game
Authors: Wang Zilu
Published: January 2024

First-person shooter games are experiencing a surge in popularity. As more players join, advanced AI-based cheats have emerged. These cheats simulate human gameplay, sending mouse inputs, making them hard to detect and counter. Therefore, this research presents a novel approach that utilizes telemetry data analysis to identify and counteract cheating in FPS games. The main objective of this study is to develop an innovative anti-cheating system that can effectively detect and prevent players from exploiting AI-based cheats to gain unfair advantages. To achieve this, extensive telemetry data is collected during gameplay. The data contains the real-time cursor position when the player is playing the game. Besides, Machine learning and deep algorithms are applied to analyse the telemetry data and distinguish between human player behaviour and AI-driven cheating patterns. Decision Tree, Random Forest, LSTM, and CNN are applied for this research. And in the final evaluation, CNNs accuracy reached around 80% which proves it is a possible mode to be used for this problem. The significance of this research lies in its contribution against cheating in FPS games, particularly those exploiting AI technologies to gain unfair advantage. The proposed telemetry-based approach offers a solution to safeguard competitive gaming and insight into the game company based on this novel way for further experiments.
The prediction of Apple stock price based on linear regression model and random forest model
Authors: Gao Yutong
Published: January 2024

In the financial market, due to various factors, the stock price fluctuation is universal. Therefore, the directional prediction of stock market price based on technical analysis is very important in stock investment. This paper conducted a regression analysis and forecasted the future trends in the close price of Apple stock through recent five years between 2018 and 2023. For the purpose of this specific study, this paper did descriptive statistical analysis of the dataset, and made graphs and analyses of regression and predictions relied on the techniques of the Linear Regression Model and Random Forest Model. Based on the three indices: MSE, RMSE, and MAE, the paper compared the advantages and disadvantages of the two machine learning methods. The result of the experiments indicated that the regression generated through employment of the Linear Regression Model outperforms the result of the Random Forest Model, leading to the conclusion that Linear Regression Model is a more effective method to forecast in this dataset.
The Green function approach to scattering amplitude
Authors: Wang Yiran
Published: January 2024

Scattering is discussed in classical mechanics, quantum mechanics, and quantum field theory, which shows it is an important part of physics subject. From the Rutherford scattering in classical mechanics to the simple case of a potential barrier impeding the propagating wave in quantum mechanics, scattering problems seem trivial initially but get much more complicated with the study. The scattering theory developed along with the improvement and discovery in physics, and it brings lots of benefits and techniques for researchers from different science fields. To understand the scattering, finding the scattering is a good way to build up the connection between the fundamental theory and intuitive understanding. Specifically, the author wants to emphasize the scattering amplitude in the passage, which repeals the fundamental things of scattering, and the article would include some discussion of the properties of the Green function, which is a powerful mathematical tool for physicists. The author tries to show the scattering amplitudes beauty through the discussion. Then, link them with the quantum field theory of scattering.
Properties and applications of two-dimensional quantum materials beyond carbon
Authors: Liu Jiachen
Published: January 2024

Two-dimensional quantum materials are currently a hot research area in the field of materials. These unique materials allow electrons to move freely in only two dimensions and the other dimension is limited within the atom scale. The isolation of Graphene in 2004 showed the advantages of two-dimensional (2D) materials and led a rapid development in this field. Meanwhile, it stimulates the synthesis and research of the materials beyond carbon. 2D materials beyond carbon have different components and structures, showing a broader range of remarkable properties and applications than traditional graphene. This article will pay attention to the phenomenon and mechanism of these exceptional properties, including superconductivity, ferromagnetism, antiferromagnetism, and quantum spin liquid phase. Additionally, potential applications and future prospects of 2D materials beyond carbon will be explored. With the progress of technology, 2D materials beyond carbon are expected to have exciting developments in various fields, leading to significant changes in human life and production
Dirac equation and its contribution to atomic fine structure
Authors: Bai Diyang
Published: January 2024

This article aims to establish the comprehensiveness of the Dirac equation as an effective modification of quantum mechanics for the analysis of electrons and atomic fine structure. The Dirac equation is applied to investigate two scenarios involving electron interactions with different potentials. In the case where =0, the Dirac equation aligns naturally with electron theories and yields an electron gyromagnetic factor of g_s=2. With additional radiative corrections, it is possible to bring this value into closer proximity to experimental results. On the other hand, when considering spin-orbit coupling within a central field of V=(-e^2)r, the spin-orbit Hamiltonian derived from the Dirac equation is shown to match calculations based on Larmor and Thomas interactions. These cases collectively demonstrate the superior utility of Diracs theory when dealing with spin-1/2 particles like electrons, underscoring Diracs historical success in addressing the complexities of the time. His achievements in elucidating atomic fine structure and spin-orbit coupling hold pivotal significance for advancing technologies rooted in these theories. However, it is important to note that the Dirac equation primarily remains valid in weak external field situations, as observed in electron orbital motion, while challenges persist in unifying it with general relativity in stronger external field contexts.
Research on the selection of stock prediction models
Authors: Huang Renjun
Published: January 2024

Against the backdrop of increasing attention to the integration of machine learning and stock analysis, stock prediction models are a hot topic. The question this paper is studying in this study is which stock prediction model is more accurate in predicting stocks. The method of this study is based on the stock prices of new energy vehicle leader Tesla Motors in the past three years as a data set, using a random forest model and an SVR model to predict the stock prices over the next 10 days. Based on the parameter MSE values of the training models of two stock prediction models, compare their sizes to determine the accuracy and stability of the models. This study found that the stock prediction results of the SVR model are more accurate and stable than those of the random forest model. Therefore, it is believed that the stock prediction model using the SVR method will have more market value and occupy an important position in the integration of machine learning and stock trading analysis.
Improvement and optimization of spacecraft environmental control and life support systems
Authors: Wang Zehang
Published: January 2024

Environmental control and life support systems (ECLSS) are essential for the triumph of human spaceflight missions, furnishing astronauts with crucial resources like breathable air, purified water, nourishment, and protection from radiation. The unique and challenging space environment, coupled with the critical nature of ECLSS components, necessitates a high degree of reliability to prevent catastrophic failures. This paper conducts a comprehensive examination of various ECLSS subsystems, including air revitalization, water processing, food storage, waste management, and radiation shielding. Gaining perspectives from historical missions like Apollo, Skylab, and the International Space Station (ISS), the research outlines strategic approaches to improve the fault tolerance of ECLSS. The implementation of advanced simulation modeling, strategic component redundancy, and improved subsystem interconnectivity are posited as pivotal measures to bolster the reliability of ECLSS. These improvements are vital to guarantee the safety and viability of prolonged space missions to the Moon, Mars, and beyond, thereby facilitating humanitys ongoing exploration of the universe.
Majorana fermions and its application on topological quantum computer
Authors: Wang Chengyi
Published: January 2024

The majorana fermion represents a kind of particle which is its own antiparticle. This paper aims to analyze the majorana fermions from theoretical aspect and application aspect, including the derivation of Dirac equation and the practicality of topological quantum computer. This paper explores the idea of Majorana fermions from Dirac equation and the anyons which is an important quasi-particle to build a topological quantum computer. After that, the potentials of quantum computer are emphasized as well. Several current major difficulties faced by building a quantum computer have also been discussed, including the decoherence of qubit and the errors during the operation of qubit. The advantages of topological computer are mentioned as well, especially the high resistance to local perturbation. The important property of two-dimensional non-abelian anyons has been discussed as well. Finally, the important relation of majorana fermions with anyons are introduced and the reason why majorana fermions is important has also been revealed.
Common transmission theory and wide application
Authors: Liu Shiqi
Published: January 2024

Gear and belts/chains are the most common solution for modern mechanical devices. The allowable stress and gear ratio are two of the main factors that decide the performance of the ear section for transmission. The allowable stress can be calculated by bending stress and contact stress from design criteria. The performance of the belt solution is decided by the belt/chain material, center distance and the belt length. The allowable strength of the belt/chain solution is strongly related to the materials selected. With the current study of belts and gears, the related factors could be calculated to design the optimum shape and material. Dual clutch transmission (DCT) and continuously variable transmission (CVT) are two widely applied transmissions with gear and belt/chain solutions that are introduced in the research. The advantages of DCT could be the reliability and high transmission efficiency of the gear solution and the space and energy efficiency of belt/chain structure advantages of the CVT. Both DCT and CVT could be applied in different conditions to maximize the specific performance.
A review of the explanations to the twin paradox
Authors: Fan Qiyu
Published: January 2024

The Twin Paradox is a representative problem in special relativity. It proposed a problem that from a spacecraft that is moving at a speed close to light, the earths time will be slower; in contrast, the earth will also consider the time of the spacecraft slower. However, this paradoxs solution can expand beyond the special relativity and Lorentz transformation. Basically, the seeming paradox can be solved using the period when the spacecraft turns around. Therefore, it can be considered a good way to have a better understanding of relativity. In this paper, this paradox is explained in three ways: the Lorentz transformation, the Minkowski geometry, a special geometry including both space and time, which is proposed to have a better explanation of the special relativity and gravitational time dilation in general relativity, and will also expand to other effects in relativity, such as the gravitational redshift. This paper hopes to offer some references for a better understanding of the Twin Paradox.
Optimization of basic PID control algorithm based on genetic algorithm and Matlab
Authors: Ma Yingjie
Published: January 2024

This paper investigates how to optimize the basic PID algorithm by using population genetic forms. "In traditional PID control, the tuning of PID parameters mostly relies on the experience of the tuner. The main purpose of this paper is to use an algorithm that can automatically tune its parameters to self-tune a PID controller for an actual model." Based on the principle of genetic algorithm, this paper compares the traditional PID controller tuning methods to study the trend of the PID parameters during the iteration process as well as the trend of the PID controller adaptability. Through the principle of the algorithm and the iterative output, as well as in the code set the weights occupied by different performance indicators, it can not only flexibly adjust the degree of adaptation and make the algorithm more flexible, but also prove that the use of genetic algorithms for the rectification of the PID is more adaptable and convenient, with promising research prospects
Exploring the hydrogen atom: From wave function to stark effect
Authors: Ren Biyue
Published: January 2024

As the most basic and abundant atom in the universe, hydrogen atoms have long attracted the interest of scientists and provide the best subject for the exploration of quantum mechanics. This article provides a comprehensive study of the multifaceted characteristics and implications of the hydrogen atom. First, the research deeply studied the basic derivation of the Schrdinger equation of the hydrogen atom and provided the necessary theoretical framework. On this basis, modern computing tools are used to visualize the electron cloud of hydrogen atoms and reveal their shapes and characteristics under different orbits. In addition, the study investigated atomic transitions and associated spectra, elucidating basic quantum transition principles and serving as a benchmark for studying more complex atomic systems. Eventually, the research focus shifted to a specific direction, studying the Stark effect in hydrogen atoms, especially in the n=2 state. This research provides a novel perspective on understanding the fundamental properties of the hydrogen atom and its implications in modern physics research.
The recovery time complexity of a coin weighing algorithm
Authors: Wang Hanxuan
Published: January 2024

Given n identical-looking coins each with possible weight in {0, 1}, and a scale that can measure the weight of any arbitrary set of coins, the coin weighing problem studies how to find out the weight of every coin with as few weighing as possible. The algorithm in Lindstrm takes O(n/logn) non-adaptive weighings to determine the coins, which gives an O(logn) factor improvement compared with the nave algorithm that measures each coin on its own. However, it is unclear that with the O(n/logn) queries, how long it takes to retrieve x. This paper is about establishing and further optimizing the nave recovery time complexity of Lindstrm s algorithm. The recovery time complexity here is defined as the time complexity to recover x given Dx under the RAM model, where D{0,1}^(mn),, each row being a weighing query, is the Lindstrm query matrix. The brute force recovery algorithm has running time O(m2n), whereas our algorithm only takes O(mn). Finally, we run experiments to verify our results with the actual running time of the algorithm on various size of inputs
Seeing the piano sound Exploration on utilizing finite element analysis to visualize piano sound
Authors: Xia Yifan
Published: January 2024

The study aims to provide a way for impaired people to learn music better through music visualization. We established a relationship between piano key frequencies and Chladni patterns. Firstly, we performed modal analysis simulations using ANSYS, covering the full range of excitable modes in the frequency range of the piano keys. However, since the natural frequencies of the simulation results were slightly different from experimental results, we used the hammering method to validate the simulation results and to demonstrate that the finite element modal analysis was able to simulate the dynamic properties of the circular plate well. Subsequent studies have found that different excitation frequencies in the lower frequency range may also affect the generation of Chladni patterns. Using harmonic analysis in ANSYS, we confirmed that tones of similar frequency on the same plate can produce different Chladni patterns, thus greatly simplifying the previous problem of having to use multiple plates of different shapes and sizes in order to visualize most of the piano keys. Based on the graphical simulation of a single tone, we have successfully extended it to a melody. This result provides strong support for effectively helping the hearing impaired to learn to play musical instruments, makes it possible to present music in a visual form, and opens up new possibilities for the wider use of music education tools in the hearing-impaired community.
Research on computer vision application for safety management in construction
Authors: Wang Yu
Published: January 2024

In light of the complexity of building sites, safety management has always been a challenging and crucial duty. The goal of construction safety management is to ensure the safe completion of the project, maintain the life and health of workers, and decrease construction accidents and losses. The emergence of computer vision (CV) technology has transformed the old construction safety management methodology. This paper demonstrates how CV technology can increase safety and management efficiency at construction sites from an application standpoint. Firstly, the principles and methods of CV technology are introduced, and the literature analysis methodology used in this paper is also descripted in detail. Then, its application in various aspects such as real-time monitoring of construction sites, worker safety management, equipment behaviour monitoring and material quality control are researched. In addition, this paper demonstrates the significant potential of CV technology in reducing accidents and enhancing safety performance, and provides important insights into future research prospects. Finally, this paper presents a more detailed picture of the construction industrys aim to utilize CV technology to improve safety management, and is both informative and instructional.
Numerical simulation of MHD on sudden expansion duct under strong transverse magnetic field
Authors: Liu Yipeng
Published: January 2024

This research delves into the analysis of quasi-two-dimensional flow dynamics in liquid metal confined within a sudden expansion duct, subjected to a strong magnetic field. Utilizing numerical simulations derived from the SM82 model, the study concentrates on examining the magnetohydrodynamic (MHD) responses across a defined range of parameters. These simulations were conducted maintaining a constant Reynolds number (Re), while systematically varying the Hartmann number (Ha) across a spectrum of values [1000, 2000, 5000, 10000, 15000, 20000] to enable a thorough exploration of the magnetic fields influence on the flow dynamics. The outcomes of this study reveal a marked transition in flow behavior corresponding with the escalation in magnetic field strength. Notably, as the magnetic field intensifies, the flow undergoes a transformation from a state of instability to stability. This shift is predominantly characterized by a diminution, followed by a complete cessation, of shear vortex shedding. Additionally, beyond a Ha of 5000 and at a longitudinal position of x = 6, both the velocity and pressure profiles begin to exhibit near-identical and symmetric characteristics. Post the Ha exceeding 1000, the vortex profile demonstrates symmetry about the y=0 axis. These observations significantly enhance the comprehension of MHD fluid dynamics under quasi-two-dimensional conditions.
U.S. unemployment rate prediction using time series model
Authors: Zou Xintian
Published: January 2024

Although previous studies have given a better prediction model for the Americans unemployment rate, due to the short time and different time nodes, the parameters of the model and the seasonality and the stability of the time series are also different. In this study, the ARIMA model, which is the most widely used in the time series, is adopted and the seasonal influence is added to the model according to the selected time period. At the same time, two models are used to predict the unemployment rate in the United States from January 2017 to January 2019. The stability of the model was determined by Dickey-Fuller test, and the fitting and prediction effects of the two models were compared by comparing the values of AIC and MSE. With the fitting prediction method of the unemployment rate in the United States, this paper can analyze and predict the unemployment rate in other Western countries, and can further compare and analyze the reasons with China s unemployment rate, which is convenient for us to better regulate macroeconomic policies.
Penyuluhan Status Harta Waris Islam Terhadap Anak Angkat kepada Seluruh Civitas Universitas Sains Islam Malaysia
Authors: Firdaus Muhammad Irkham , Ghozali Mohammad , Sahputra Jaya
Published: January 2024

This Community Service (PKM) focuses on providing counseling about the legal status of adopted children's inheritance rights from their adoptive parents. An adopted child is a child whose rights have been transferred from the family environment and authority of the biological parents, legal guardians, or other persons responsible for caring for, educating and raising the child. The legal status of adopted children in the perspective of laws in Indonesia and Malaysia is legal, however it then becomes an issue when faced with their rights within the inheritance assets of their adoptive parents. In Islamic inheritance law, adopted children do not have legal power over inheritance rights from their adoptive parents, except through obligatory wills (wasiat wajibah). Meanwhile, in positive law, adopted children obtain equal status as biological children, so that adopted children can become heirs. This PKM program is carried out for all USIM civitas (lecturers, staff, employees, workers) in collaboration with the USIM Faroid Study Center. This PKM program aims to provide an understanding of the inheritance rights status of adopted children. This PKM program uses socialization, counseling, and mentoring methods.
User involvement in the design of outdoor environments to support mental health recovery—From reflection to action
Authors: Hjort Mikkel , Høj Michaela , Weber Sandra , Roessler Kirsten K.
Published: January 2024

One out of eight people worldwide struggles with mental health illnesses. The treatment is slowly shifting from a biomedical perspective, primarily paying attention to symptom reduction and medicine, towards a more holistic and recovery-oriented perspective. At the same time research shows that the outdoor environment can help relieve pain and stress and improve mental well-being. The study presents a practice-oriented method, inspired by evidence-based design, for developing a master plan for two outdoor gardens at a Mental Health Center in the Capital Region of Denmark. We aimed to provide guidelines for how to set up and perform a flexible design process that combines established knowledge with the needs of the patients and staff. The empirical data were collected through a systematic literature review, semi-structured interviews with patients and staff, workshops and presentations at two different mental health units. The two case studies showed good results in involving patients and staff in the design process and based on the findings of our study involving users. In conclusion, it was apparent that the use of interdisciplinary collaboration informed the design outcome. Based on the two cases, the following advice can be given to the architectural profession: Architects should integrate interdisciplinary knowledge into the design process of outdoor facilities for people with special needs. Interdisciplinary knowledge and user involvement complement each other by adding important site-specific details from the user to the more general design guidelines. This way, the design becomes more nuanced and customized to the users of a specific site. The study showed how architects can import knowledge, skills and values from other disciplines such as environmental psychology to improve the decision-making process of future projects for the benefits of mental patients.
Emerging Medical Humanities and the Place of Medical Humanities in South Korea
Authors:   The Korean Association for Philosophy of Medicine, Choi Eun-Kyung
Published: January 2024

What has been, and what should be, the medical humanities in South Korea? This article examines the role and status of the medical humanities in Korea within the context of the history and revival of the medical humanities globally. Medical humanities in South Korea has been a restoration and introduction of the past in response to the call for the renovation of Korean healthcare. This is largely in line with the paradigm shift in biomedical sciences that has begun globally in response to changing disease patterns, the emergence of new diseases, the diversification of healthcare providers, and the onset of the genetic era. However, the global transition in biomedical sciences and the crisis in Korean healthcare are not the same, and the themes of medical humanities at the global level may not necessarily be the same as those in South Korea. For this reason, it is necessary to explore the role of Korean medical humanities in various medical humanities contexts and branches. It is also necessary to refine the themes of Korean medical humanities while enriching geopolitical and local understandings. At first, this article traces the process of 'medicine as humanities' and the formation of medical humanities as a discipline in medical schools. In particular, it examines how the study of humanities, which aims to form a holistic human being, has been emphasized in medical education as it can embraces the call for reflection in medical science, which asks for compassion and empathy for patients and others. Then, it examines the globalization of medical education as a background for the introduction of medical humanities in South Korea since the 1990s, and critically examines it under from the perspective of the call for humanities in medicine. Finally, it proposes the status and role of medical humanities in South Korea using the domains of ‘professionalism’ and ‘cure and care’ as examples.
Applied Phenomenology and Clinical Medical Ethics: The Case of Richard M. Zaner
Authors:   The Korean Association for Philosophy of Medicine, Lee Il-Hak
Published: January 2024

This paper explores the intersection of applied phenomenology and clinical medical ethics, focusing on the work of Richard M. Zaner. The paper discusses how philosophers often find themselves in a precarious position in the clinical environment, where their principles, concepts, and theories are not directly applicable to clinical practice. The core argument revolves around the concept of human dignity, autonomy, and the “situated subject” in the context of illness. Zaner's approach to clinical ethics counseling suggests a shift from traditional ethical decision-making processes to a more engaged and dialogical method. He emphasizes understanding the patient's experience and context, considering the complexities of human interaction and communication in medical settings. The paper elaborates on Zaner's life and major works, his commitment to phenomenology, and his significant contributions to medical ethics. Zaner's methodology in clinical encounters and ethical consultations is examined, showcasing his unique approach to addressing ethical dilemmas in healthcare. Two cases are presented to illustrate Zaner's method in practice. The first case discusses the ethical dilemmas surrounding a critically ill newborn and the parents' role in decision-making. The second case involves the ethical considerations in the treatment of a terminally ill patient, highlighting the complexities of family dynamics and decision-making processes. In conclusion, the paper asserts that Zaner's achievements demonstrate the potential benefits of a phenomenological approach to clinical ethics. It suggests that this approach can bridge the gap between theory and practice in medical ethics, providing a more holistic and empathetic way of addressing ethical issues in healthcare.
Tinjauan Normatif Penggunaan Peralatan Makan Dan Minum Sekali Pakai Pada Penyedia Makanan Dan Minuman Di Indonesia
Authors: Hapsari Diah Oktavia
Published: January 2024

Baik di kota maupun kabupaten tidak asing lagi dengan restoran cepat saji ataupun kedai kopi kekinian. Meskipun sempat mengalami kerugian karena pandemi COVID-19, saat ini bisnis di sektor makanan dan minuman berkembang pesat seperti jamur di musim penghujan. Namun, pertumbuhan ini membawa tantangan lain karena memiliki dampak langsung terhadap lingkungan, yaitu peningkatan sampah plastik dan kertas dari peralatan makan dan minum yang digunakan para pelaku usaha. Saat ini Indonesia menempati urutan kedua setelah China dalam hal penyumbang sampah plastik ke laut tertinggi. Ditambah dengan pertumbuhan restoran cepat saji dan kedai kopi kekinian yang memilih menyajikan makanan dan minuman dengan peralatan makan dan minum sekali pakai tanpa diimbangi dengan pengolahan sampah yang memadai, tidak heran jika peringkat tersebut terus naik. Salah satu motto keberlanjutan adalah reduce-reuse-recycle, recycle dapat dikatakan sebagai pilihan terakhir karena proses daur ulang membutuhkan tenaga dan waktu yang lebih banyak daripada reduce dan reuse, serta dapat menimbukan emisi yang berbahaya bagi lingkungan. Penggunaan peralatan makan dan minum yang dapat digunakan kembali (piring dan gelas keramik) dianggap lebih tepat untuk digunakan pelaku usaha dalam menyajikan pesanan bagi pelanggan yang memilih makan di tempat. Penelitian ini dilakukan dengan metode scooping review melalui artikel ilmiah, berita, siaran video, dan peraturan Kementerian/Lembaga terkait. Simpulan dari penelitian ini diharapkan dapat memberikan masukan bagi pengambil kebijakan untuk mengupayakan tercapainya target pengurangan sampah 30% di akhir tahun 2029.
Systematic Literature Review on Parallel Sorting and Searching Algorithms for Graph Analytics Problems
Authors: Kumar P A Shajil , Rao Kunte R. Srinivasa , Vaidya Pallavi
Published: January 2024

This research paper aims to systematically review the literature published recently on the topic of parallel processing algorithms for sorting and searching methods. The paper emphasizesfinding the major gaps in the existing methods of using parallel sorting and searching methods for graph analytics problems and their use in scalable data science. Many peer-reviewed research papers and articles from international and national journals, conferences and other sources are searched using appropriate keywords and they are analyzed to understand the concept, current trend in the area and to find the research gaps, by employing a systematic review method of literature. The outcomes of this literature review haveresulted in the need to undertakea research work on "Design and Implementation of Parallel Sorting and Searching Algorithms for Graph Analytics Problems in Scalable Data Science". Also, we have identified the required research objectives and its plan of execution for the research proposal. Systematic literature review, Topic of research proposal along with research objectives, Listing of SWOT analysis of the research agendas, Listing of ABCD analysis of the research proposal
Researching Young Children's Lived Experiences of Loneliness: Pedagogical Implications for Linguistically Diverse Students
Authors: Kirova-Petrova Anna
Published: January 2024

This article addresses the pedagogical implications of linguistically diverse students' experiences of loneliness in elementary school. The study presented was derived from a larger investigation of young children's lived experiences of loneliness. A review of interviews with 10 linguistically diverse students in the original study revealed that these children experience the loneliness of being excluded, unwanted, and disliked, as well as empty of happiness, as a result of their inability to communicate appropriately with their peers. The students' loss of self-esteem and sense of self-worth and the development of learned helplessness syndrome are directly related to the persistence of their experiences of loneliness over a long period. Providing opportunities for meaningful social interactions in activities that do not require the English language as a sole means of expression of their knowledge and skills and teachers' effective use of nonverbal communication can be employed as strategies to foster a sense of belonging to the peer group and to promote hopefulness, which can lead to a reduction of feelings of loneliness in young linguistically diverse children.
Alberta Charter Schools: Paradox and Promises
Authors: Bosetti Lynn
Published: January 2024

The intent of this article is to examine the role of charter schools in educational reform in the Alberta context and to argue that the real promise of charter schools resides less in fostering innovation and efficiency in public education, and more in providing schools of choice for parents and in addressing diverse values and goals of education. This article is premised on the concern for the global phenomenon of governments adopting market solutions to address "problems" related to diversity, efficiency, and accountability in the public sector. Governments depoliticize education and debates regarding its social purposes "by placing it as much as possible in the province of parental authority" and market forces, and at the same time "deny parents the democratic authority to implement educational policy that requires state support" (Gutmann, 1987, p. 11). This approach marks a "paradigm shift in the economics of education policy and social policy in general" (Gewirtz, Ball, & Bowe, 1995, p. 2), with a new emphasis on accountability and efficiency through competition and consumer choice.
Students’ Perceptions of Teaching and Learning Practices: A Principal Component Approach
Authors: Mukorera Sophia , Nyatanga Phocenah
Published: January 2024

Students’ attendance and engagement with teaching and learning practices is perceived as a critical element for academic performance. Even with stipulated attendance policies, students still choose not to engage. The study employed a principal component analysis to analyze first- and second-year students’ perceptions of the importance of the 12 teaching and learning practices used in the Economics modules. The results showed that first year students perceive lecturer consultation, ADO consultation, and revision classes as the most beneficial practices for their academic performance. Second-year students recognize interactive group learning practices as most beneficial for their academic performance; they also perceive weekly tutorials, PowerPoint lectures, small group tutorials, and revision classes as contributing the most to academic performance. Self-study and e-learning are perceived as the least beneficial by both streams of students. The main conclusion from this study was that first-year students are more likely to be solitary learners and prefer teaching and learning practices that involve one-on-one interaction with the instructor. On the other hand, second-year students tend to be more social learners, preferring teaching and learning practices that are in a group setup. This is a possible explanation of why they do not attend or engage with some teaching and learning practices.
Enhancing the Impact of Evidence-based Publications on K-12 ESL Teacher Practices
Authors: Abbott Marilyn L. , Lee Kent , Rossiter Marian J.
Published: January 2024

The reading of current research-informed publications is an essential component of teacher professional development that has the potential to lead to or reinforce the implementation of effective instructional practices. To our knowledge, no studies have examined kindergarten to grade 12 (K-12) ESL teacher engagement in professional reading related to the teaching and learning of ESL. Therefore, we conducted a survey of K-12 ESL teachers from four Canadian provinces to examine their reading practices. Results revealed that teachers mainly consulted professional newsletter articles to address classroom-related issues and indicated that key stakeholders (e.g., teachers’ associations, school districts, and school principals) do little to enhance teachers’ reading of TESL-related publications. Several recommendations to increase teacher reading engagement are included.
On signs of certain Toeplitz-Hessenberg determinants whose elements involve Bernoulli numbers
Authors: Qi Feng
Published: January 2024

In the paper, by virtue of Wronski's formula and Kaluza's theorem related to a power series and its reciprocal, by means of Cahill and Narayan's recursive relation, and with the aid of the logarithmic convexity of the sequence of the Bernoulli numbers, the author presents the signs of certain Toeplitz-Hessenberg determinants whose elements involve the Bernoulli numbers and combinatorial numbers. Moreover, with the help of a derivative formula for the ratio of two differentiable functions, the author provides an alternative proof of Wronski's formula.