bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Wordle Puzzle Game based on trend prediction model based on data index
Authors: Liu Xuanyun , Huang Yiyang , Huang Kuntao
Published: January 2024

World Puzzle is a word game that has exploded in popularity over the past year. For this kind of game phenomenon, this paper studies. First, the LSTM algorithm is used to describe the trend of their number and to fit a high-precision time model. At the same time, considering the rigor, this paper also establishes the ARIMA time series analysis model to predict the data again. On this basis, the data accuracy of the two models is compared, the model is selected, and five indexes such as the number of words and the number of meanings are defined. Second, Pearson correlation coefficient was used to investigate the relationship between the effects of these indicators on the percentage of reported scores in difficulty mode. Finally, BP iterative neural network was used to calculate the correlation between the indicators and the percentage of players attempting to solve puzzles each time, and GBDT machine learning method was used to quantify the relationship between the word difficulty attribute and the reported result distribution, so as to establish the correlation model between the word attribute and the percentage of passing rate. The results show that LSTM model is more suitable than ARIMA model to describe the trend of the number of reports over time. Meanwhile, when the word "EERIE" was inserted into the model, the average number of correct guesses was 5.399.
Kinematic Characterization of Marine Wave Energy Devices Based on Immune Particle Swarm Algorithm
Authors: Zhong Jiayi , Hou Qingyang
Published: January 2024

This paper explores the optimization of motion characteristics and energy output in an ocean wave energy device. The displacement and velocity of the device in pendant oscillatory motion are explored by simplifying the device model and simulating it using Simulink. Numerical methods are employed to solve the dynamics model. Subsequently, an optimization model for the average output power of the damper is developed based on this exploration. Both the grid search method and particle swarm algorithm are utilized to optimize the damping coefficients. These two methods are compared, revealing the particle swarm algorithm's superior efficiency.
Possible Relation Between Fast Radio Bursts and Gamma Ray Bursts
Authors: Hu Shuyu
Published: January 2024

Fast Radio Bursts (FRBs) have remained an enigmatic cosmic radiation phenomenon with an elusive origin and the question of their potential association with Gamma-Ray Bursts (GRBs) requires further examination. Some of recent studies have indicated a lack of observable data correlation between GRBs and FRBs. This may be attributed to the inadequacy of the currently available datasets, underscoring the necessity for comprehensive data integration from multiple projects. This paper undertakes an analysis of recent hypotheses positing a correlation between FRBs and GRBs. To substantiate these hypotheses, the study compares 680 FRB signal datasets provided by CHIME and FRBCAT with a total of 2975 GRB datasets from Fermi, Swift, and HESS. The objective is to identify correlated FRB-GRB signal pairs. However, it is essential to note that many of the newly collected GRB signals lack crucial measurements, such as afterglow data and redshift values. Consequently, to establish a more robust correlation between specific FRBs and GRBs, additional data collection and subsequent analysis are imperative. In conclusion, this paper summarizes and discusses methods for observing the redshift of subsequent GRBs and presents models for inferring redshift through FRB dispersion. Additionally, it analyzes the temporal distribution of the approximately 109 correlated data points, providing insights into the timing of these cosmic events.
Description, Origination and Prediction of Geomagnetic Storm
Authors: Ge Zongyuan
Published: January 2024

The research of geomagnetic storm has developed rapidly, and many new geomagnetic storm prediction methods have appeared. In order to summarize the previous research on geomagnetic storms, and points out the improvement direction of several existing forecasting methods. This paper uses the method of literature research to introduce the basic knowledge of geomagnetic storms, the interplanetary origin, and three forecasting methods: analysis of the change of cosmic ray flux to predict geomagnetic storms, evaluation of neural networks to analyze solar wind data for geomagnetic storm prediction and using very low frequency signal to predict geomagnetic storms. The advantages and disadvantages of the above three forecasting methods are compared. According to the analysis, one can have a relatively comprehensive understanding of geomagnetic storms and grasp the basic ideas of the existing geomagnetic storm forecast methods, the forecast lead and accuracy of geomagnetic storm can be achieved by combining many existing forecasting methods. A deeper study of the relationship between Earth and the Sun could also lead to the discovery of new methods for predicting geomagnetic storms.
Analysis the Principle, Components and Functions of Electric Sensors for Space Detectors
Authors: Han Yiben
Published: January 2024

With the development of science and technologies, there are increasingly number of devices used for space applications in recent years. As a matter of fact, any state-of-art space detectors will have thousands of electric devices in order to realize fine controlling. With this in mind, the topics of this paper focus on electric sensors and space detectors contemporarily. To be specifically, this study will also introduce principles, components and functions of three electric sensors for different use in space exploration. Based on the data analysis, the research results show that although different types of electric sensors are used for space applications, limitations and restrictions still exist in electric sensors whereas some of them will be addressed and improved in the future due to advanced technologies. The research significance of this paper is to associate electric devices as well as space probes and discuss the limitation and future outlooks of them.
Principle, the State-of-art Facility and Application of MRI
Authors: Shi Nanyu , Yang Yushen , Zhou Xihong
Published: January 2024

With the continuous development of science and technology, human beings have higher and higher medical needs, but in the past, people did not have a deep understanding of MRI. This article intends to use the survey method to explore MRI, hoping to promote people's understanding of MRI. The main direction of this research article is the principle and application of MRI. This article is divided into 6 main parts. The first part introduces the development history of MRI and the research progress in recent years. The second part explains the components and the types of MRI. The third part analyzes the principle of MRI. The fourth part introduces the latest MRI with the instrument equipment and parameters. The fifth part analyzes the main application range of MRI, and the sixth part explains the current limitations of MRI. Through the research on MRI, we found that the current MRI has limitations, and the high cost also makes some patients daunted by MRI. These results offer a comprehensive discussion for MRI, shedding light on guiding further exploration of MRI.
The Research of Influence Factors that Possibly lead to Stroke
Authors: Wang Wenbo
Published: January 2024

Although previous studies have demonstrated that the incidence of stroke is associated with hypertension, heart disease. In this research, the method Binary Probit Model is used to deal with the data from Kaggle named “Diabetes, Hypertension and Stroke Prediction” which was published 2015 for 70692 survey responses. It is concluded that although stroke has no connection with Gender, it has a relatively strong connection with heart disease and hypertension. Many of the factors having a possibly strong connection with stroke have never appeared in previous studies, such as heart disease which provides some new perspectives to study the pathogenesis. Advances in pathogenesis help improving the treatment of stroke and reach out for further research afterward. This paper uses Probit regression to study the relation between the three diseases from the data found in Kaggle, and the result seems to support a positive correlation between them which the three diseases are closely related to each other.
A multi-factor quantitative model based on weighted SIR-SAVE and model averaging
Authors: Wang Jialuo , Wang Weihan , Yang Fan
Published: January 2024

In financial quantitative research, there are many kinds of predictors that are closely related to stock prices, so how to design effective machine learning algorithms for such high-dimensional prediction problems is a hot issue. Based on this, this paper proposes a stock factor quantization and prediction model based on the idea of sufficient dimensionality reduction and model averaging. The proposed method is based on the principle of conditional independence, which can greatly retain the validity of the predictors on the stock price while solving the dimensionality catastrophe problem. In addition, the method adaptively learns the link function between the quantized factors and stock prices by using the model averaging method to effectively weigh the variance and bias of the prediction model. In the actual data analysis, this paper chooses the weighted SIR-SAVE as the adequate dimensionality reduction method, the mutual information criterion as the assignment rule of model averaging, and some classical high-dimensional regression techniques as the comparison method, and the empirical results show that the proposed method has a higher accuracy under the evaluation indexes of mean squared error and absolute error, and possesses a certain degree of robustness. Finally, since the sub-models in the model averaging are free, the proposed method is also applicable to the problem of classifying the prediction of stock ups and downs.
Applications of Cauchy-Riemann Equations on Several Examples
Authors: Wang Xianghe
Published: January 2024

Cauchy-Riemann equations is always a heated topic in mathematics. It is widely used to solve both mathematic problems and daily issues. In this paper, basic knowledge which is needed for the study of Cauchy-Riemann equations has been explained carefully. This includes the understanding of analytic function, derivatives, and partial derivatives, as well as the method to derive the final equations. The method mainly used to obtain the equations in the paper is to calculate the limits of a function with complex variables along two axes. The application that Cauchy-Riemann equations are most frequently applied to is to find derivatives of complex functions, and some relevant examples are included. In addition, there is an extension of the basic use of Cauchy-Riemann equations in functions that are in Cartesian forms. This study can help to inspire the green hands in the field of complex analysis and let them have a good command of knowledge of the most superficial level of this field.
The Existence and Stability of Limit Cycle of Some Special Types of 2D Autonomous Dynamic Systems
Authors: Hu Shixi
Published: January 2024

This article is focusing on the problem about limit cycles of 2D autonomous dynamics, which is a part of the famous Hilbert’s 16th problem. There are mainly three results on this paper. The first two results discuss the cases with sum of squares of the variables. Through polar substitution and the mathematics analysis on the explicit limit cycle obtained by Cramer’s Rule, the first result reveals the uniqueness and stability of the limit cycle of a specific form for 2D autonomous dynamic system. For the second part of the results, by changing the coefficients of the system of the first result, it is found that the stability of limit cycle remains unchanged on the phase portrait. The third part gives a special polynomial with terms of general odd degrees for Liénard equation, which can be rewritten as a case of 2D autonomous dynamic system. Without explicit expression of the limit cycle, the Poincaré–Bendixson method and the Liénard theorem help to give the conclusion on both uniqueness and stability of this system.
Application and Extension of Residue Theorem
Authors: Huang Yixun
Published: January 2024

The Complex analysis is a branch of mathematics studying complex variable functions, mainly studying the properties and characteristics of complex variable functions. This paper first introduces the background and development of the residue theorem. Then this paper briefly explains the definition of the residue theorem. It also introduces the applications of residue theorem in different field of physics. The residue theorem is widely used in the integration of complex variable functions, and it is also applicable to the integration of real functions. Several examples of integral solved by the residue theorem in real variable functions are used to further understand the residue theorem and explore the application of the logarithmic residue theorem. The logarithmic residue is an important and effective method to discuss the number of poles and zeros of analytic functions. By proving and applying various inferences, the zeros and poles can be calculated efficiently and quickly, which greatly saves time for the study and applications of complex functions.
Analysis of the Concepts and Searching for Mini Black Hole
Authors: Xu Zixuan
Published: January 2024

With the progression of time, individuals have an increasing desire and interest in the universe, and black holes, as perilous and enigmatic entities within the universe, naturally draw the attention of many individuals seeking to study them. Amongst all types of black holes, the mini black hole is particularly mysterious, and it remains unknown whether it even exists. This study will briefly introduce and integrate the concept of MBHs and their search. In fact, the life expectancy of a mini black hole is divided into four stages, which distinguishes it from other black holes. Ultimately, it will culminate in the production of short gamma ray bursts. Two methods for detecting mini black holes have been identified, one through gravitational waves and the other through Radio and X-Ray Sky. If the existence of MBHs is proven, some of the Universe's puzzles may be solved or explained. The paper's significance lies in its ability to provide a straightforward comprehension of mini black holes for individuals seeking further knowledge on the topic.
The Influence of Acoustic Parameters and Tuning Orientation on User Experience
Authors: Zhou Churan
Published: January 2024

This article reviews the influence of acoustic parameters and tuning orientations on the performance of acoustic systems and discusses the application of statistical methods in analyzing this influence. To begin with, the article presents an overview of the fundamental concepts and classifications of acoustic parameters and tuning orientations. This establishes a foundation for further exploration of their effects on acoustic system performance. The article then delves into the role of statistical methods in studying the impact of these parameters and orientations. It emphasizes the importance of statistical analysis in quantifying and evaluating their influence on system performance. Various research methods utilizing statistical techniques are also discussed in detail. Then, the current research results are summarized and analyzed, and directions and prospects for future research are proposed. Overall, the objective of this paper is to serve as a valuable reference and guide for utilizing statistical methods to optimize acoustic parameters and tuning orientations. By doing so, the aim is to enhance the performance of hearing systems and ultimately improve the overall user experience.
Applicability of Drag Equation on a Dimpled Golf Ball using Changing Wind Velocities
Authors: Tang Yutao
Published: January 2024

The drag equation is commonly used to relate the resistance force experienced by an object traveling through fluids with its velocity. The pattern might vary based on the specific geometry of the objects (e.g., a dimpled golf ball). The dimples are known to reduce the amount of drag during the ball’s flight through a series of complex aerodynamic processes. To investigate the ball’s drag pattern, pressure and air velocity on the golf ball, a CFD using Ansys fluent is performed to simulate its aerodynamic features under nine different wind velocities. After the experiment, it was found that the relationship between the drag and velocity of the dimpled golf ball still generally conforms to the drag equation. The pressure and velocity distributions are consistent with the hypothesis, while the aerodynamic details are presented. The effect of dimples is also visualized, contributing to the flow demonstration. The investigation is valuable because the aerodynamic process of the dimpled sphere structure in changing wind velocities is well presented and analyzed, and it inspires further explorations on the aerodynamic effects of the dimple geometry.
Analysis of the Motion of Solar Wind (SW) and Other Solar Activities Impacts on the Earth
Authors: Yu Chunyu , Zhou Jiayin
Published: January 2024

Solar wind (SW), the powerful outflow of charged particles from the Sun, has a significant impact on Earth's magnetosphere, ionosphere, and atmospheric processes. This paper examines the motion of SW and its effects on Earth, focusing on changes such as slow and fast SWs and their impacts on geomagnetic storms, ionospheric disturbances, and precipitation patterns. Observations from spacecraft, including the Solar and Heliospheric Observatory (SOHO), the Advanced Composition Explorer (ACE), and the Wind spacecraft, have provided valuable data on solar wind properties. However, there are limitations in spatial coverage and the measurement of internal SW properties. Accurately predicting SW behavior remains a challenge. Future research should focus on developing advanced observational techniques, utilizing multiple spacecraft, and improving modeling and data analysis approaches. The forthcoming expeditions, specifically the Solar Orbiter and Parker Solar Probe, are predicted to provide novel understandings into solar activity. Enhancing our understanding of solar activity and improving space weather predictions are crucial for mitigating the potential adverse effects of SW on electricity, communication, and other human activities. This research contributes to advancements in space weather forecasting and the reliable and safe operation of our technological infrastructure.
Chaotic Phenomenal and One-dimensional Logistic Map
Authors: Zheng Yuzhe
Published: January 2024

Introducing the basic properties of logistic map. The paper includes the proofing of the stability of fixed points in different domain of  and determining the property of period doubling of Logistic map, describing Chaos phenomenon in logistic map by showing the stability of fixed points in different intervals of , researching 3-period limit cycle in the Logistic Map bifurcation diagram, showing a special characteristic of the logistic map on the region on the bifurcation diagram that exist 3-period limit cycles, collecting the different value of  at one, two, four, eight, sixteen and thirty-two pitchfork points from the Logistic Map Bifurcation diagram to calculate Feigenbaum constant and proving the Feigenbaum can also be used to determine the pitchfork bifurcation speed of logistic map when r is between zero to negative two. Showing the basic properties of the Mandelbrot Set. Showing the result of computer simulation in real part to the Mandelbrot Set to determine the relationship between the Logistic Map bifurcation diagram and Mandelbrot Set.
The Impact of Carbon Emission on Global Warming Based on LSTM Model and PCA
Authors: Zhu Chenyi
Published: January 2024

Climate related topic has become a big topic in recent years. Frequent occurrence of extreme phenomenon has made people to are about the climate issue throughout the world, especially about the global warming. This study uses LSTM model to predict the temperature anomaly in the next 100 years and makes PCA to analyze the main contributor to global warming. The temperature anomaly this article used as the dependent variable will stay in a relatively stable stage and the highest anomaly is 1.24℃ while the lowest is 0.25℃. Among carbon dioxide emission, forest fires and volcanic eruption, the main factor that contributes to global warming id CO2. At end of the article, some practical suggestions are put forward to reduce carbon emission in normal life. This article aims to present a basic knowledge of global warming and climate change, and provide people with some measures to implement low carbon.
Experimental study on natural droop of materials with transverse stress
Authors: Wu Yuexiang , Chen Muyang , Zhang Qiyu , Gao Hong
Published: January 2024

In this study, it is found that the catenary structure of materials with transverse stress is deviated from the hyperbolic cosine function derived by Euler equation. In our experiments, we verify the principle of minimum potential energy and find that the natural suspension potential energy is not necessarily the minimum for non-ideal suspension iron ropes with transverse stress (such as high-voltage ropes or suspension bridges).In other words, the variable of the principle of least action in the suspension line is not necessarily the gravitational potential energy only, but may also be the sum of gravitational potential energy and elastic potential energy in materials with high horizontal stress. Finally, the phenomenological proof of the minimum potential energy of the catenary is given through calculation and drawing.
Comparison of Models for Predicting Outcomes in Patients for Heart Disease
Authors: Liu Hanzhang
Published: January 2024

Over one quarter of all global deaths are caused by heart disease. Heart disease takes the lives of nineteen million people every year, making it the major cause of death. The risks of cardiovascular disease have been steadily rising across the globe over the past thirty years and COVID-19 has only exacerbated the predicament. Curing heart disease is a very expensive task, and thus a prediction is necessary. This study seeks to review the accuracy and accessibility of three models that are commonly used to predict decisions, which are Logistic Regression, Decision Tree, and Random Forest. Each method is used to fit models using data with 70000 cases and eleven variables. The accuracy rates for the Logistic Regression, Decision Tree, and Random Forest are 0.54, 0.56, and 0.51, respectively. Through a comparison, the Random Forest model is superior to the other models with the smallest misclassification error. Nevertheless, it does not have the accessibility that the other two regressions possess.
Design and Optimization of E-Band Fluor tellurate Fiber Amplifier Doped with Praseodymium
Authors: Huang Xiangyuan
Published: January 2024

This study focuses on investigating and selecting an appropriate optical fiber material, specifically emphasizing the utilization of fluorotellurate as the base material. The objective is to enhance the performance of the optical fiber material by incorporating praseodymium ions, which possess unique properties advantageous for optical amplification.To gain an accurate understanding of the working principle of the fiber optic amplifier, a mathematical model is developed. This model acts as a valuable tool for simulating and optimizing the amplifier's performance. By conducting rigorous simulations and optimization processes using this model, critical parameters can be identified and fine-tuned to achieve optimal gain characteristics.To verify the efficacy of the designed fiber amplifier, comprehensive experimental tests are conducted. The results from these experiments convincingly demonstrate the amplifier's remarkable gain characteristics, particularly within the E-band frequency range. This research breakthrough not only highlights the amplification capabilities of the designed fiber amplifier but also presents a promising design scheme for future E-band communication systems. By selecting fluorotellurate as the base material and incorporating praseodymium ions, this study introduces an innovative approach to enhance the performance of optical fiber amplifiers. The development of a robust mathematical model enables efficient simulation and optimization, thus acting as a valuable tool for the future design and development of amplifiers. The successful experimental validation further emphasizes the potential of the designed fiber amplifier as a pivotal component for advanced E-band communication systems.
An Analysis of Bibliometric Research on Sumatriptan (Imitrex, Tosymra) Linked to Migraine Relief
Authors: Umar Muhammad , Malik Muhammad Osama , Iqbal Shahid , Qurban Aqsa , Sadiq Aqsa , Zanib Syeda Safina , Tarar Maham Taimoor
Published: January 2024

Episodic headaches are a common neurovascular disorder called migraine characterized by a throbbing pain that is typically felt on one side of the brain, however it can occasionally affect both sides. However, no visual bibliometric analysis has been conducted on the effects of sumatriptan on migraine over the past 10 years. Objective: To identify the current status and emerging trends of the global use of sumatriptan associated with the relief of migraine from 2011 to 2022. Methods: Approximately 3154 publications (500 from PubMed and 2654 from dimensions) in CSV format were exported from PubMed and dimensions to VOS viewer. The keywords applied for searching were “sumatriptan” and “sumatriptan in migraine”. Results: The results of bibliometric analysis of the occurrence of keywords by VOS viewer revealed the top four most occurring keywords as “effect”, “relief”, “model”, and “mechanism”. The bibliometric analysis for the graphical distribution of a maximum number of articles by countries in 2011-2022 reveals Germany, the US, and Australia as the top three countries. The analysis for a maximum number of publications by organizations in 2011-2022 showed the top three organizations with a maximum number of articles are “Headache Core Center, Springfield, USA”, “Montefiore Medical Center, USA”, and “Experimental Medicine Research Center, Tehran University”. Conclusions: The compiled data of this exploration will make it easier for other academic research work to find authentic and fruitful results for complex future studies.
Redefining Masculinity in the Digital Age: Vulnerability, Emotional Expression, and AI in Spike Jonze’s Her (2023)
Authors: Ayodabo Sunday Joseph
Published: January 2024

This paper explores the transformation of masculinity in Spike Jonze’s 2013 film Her, examining how the protagonist Theodore’s relationship with the artificial intelligence character Samantha challenges traditional norms of masculinity. Set in a near-future Los Angeles, the film follows Theodore (Joaquin Phoenix), a lonely man who forms a relationship with his AI operating system, Samantha (Scarlett Johansson). Their unconventional bond, characterized by emotional openness and vulnerability, underscores shifting paradigms of masculinity in an increasingly digital world. Through close analysis of Theodore’s personality, emotional struggles, and interactions with Samantha, this paper argues that the film paints a nuanced portrait of contemporary masculinity. Theodore’s willingness to be emotionally vulnerable with an AI companion reflects a departure from the conventional masculine ideal of stoicism. His dependence on Samantha for emotional support also challenges the norm of male independence and self-sufficiency. Furthermore, Samantha’s influence disrupts Theodore’s understanding of intimacy and relationships, emphasizing fluidity over rigid norms. Ultimately, Theodore’s journey suggests a redefined conceptualization of masculinity –adaptive, emotionally expressive, and receptive to meaningful connections in unexpected places. Situated at the intersection of film studies, gender studies and technology, this paper illuminates how Her insightfully portrays the complex renegotiation of masculinity in an increasingly digitized and AI-integrated world.
Kazakistan’da Levon İ. Mirzoyan Dönemi Repressiya Politikası
Authors: HEKİMOĞLU Vecihi Sefa Fuat , ÇETİN Nurullah
Published: January 2024

Kızıl Terör/ Büyük Terör/ Büyük Tasfiye olarak nitelendirilen Repressiya, Sovyet Sosyalist Cumhuriyetler Birliği (SSCB) coğrafyasında genellikle 1937-1938 yıllarında yaşanan kitlesel ve siyasî zulüm dönemidir. Bu dönemde toplu sürgünler, tutuklamalar ve katliamlar yapılmıştır. Milyonlarca insan “Sovyet karşıtı”, “vatan haini”, “halk düşmanı” suçlamasıyla tutuklanmış, yüz binlercesi ise ya infaz edilmiş ya da sürgün edilmiştir. Sürgün edilenlerin büyük bir kısmı kötü şartlar altında yollarda ölmüş, sağ kalanlar ise zorunlu çalışma kamplarına gönderilmiştir. Böylece repressiya, Sovyet toplumunun demografik yapısını olumsuz bir şekilde etkilemiştir. Repressiya uygulamaları, Kazakistan’da da kendini ağır bir şekilde hissettirmiştir. Kazakistan’daki repressiya politikası, Ermeni asıllı Levon İsayeviç Mirzoyan tarafından bizzat uygulanmıştır. Mirzoyan Kazakistan’da repressiya ilgili tüm adımlarını Joseph Stalin ve NKVD Başkanı Nikolay Yejov’a danışarak atmış ve onlardan talimat alarak hareket etmiştir. Mirzoyan, bu dönemde Kazakistan’ın siyasî, ekonomik ve kültürel hayatına zarar vermiştir. Kazakistan’da Mirzoyan döneminde uygulanan repressiya politikasının yarattığı olumsuz sonuçlar, günümüzde de etkisini sürdürmektedir. Çalışmada Levon İ. Mirzoyan’ın Kazakistan Sovyet Yönetimi Birinci Sekreterliği görevinde bulunduğu sırada ülkedeki etkisi ve siyasî denetimi ele alınmıştır. Bununla birlikte 1937-1938 yıllarındaki repressiya uygulamalarının süreci, neticesi ve meydana gelen değişimlerine değinilmiştir.
Derleme Sözlüğünde Geçen Akrabalık Adları
Authors: TUĞLUK Mehmet Emin
Published: January 2024

Bir dildeki söz varlığı o dil konuşurlarının yaşam tarzları, gelenek görenekleri, kültürel değerleri, hayata karşı takındıkları tutumları hakkında bilgi verir. Dolayısyla toplumda ve toplumu oluşturan bireylerin yaşamlarında olan değişiklikler dili de etkilemektedir. Dilde bir kavramla ilgili kullanılan sözcüklerin azlığı, çokluğu veya kullanım sıklığı bu kavramın toplumdaki yerini anlamamıza yardımcı olur. Akrabalık, kan ve evlilik yoluyla insanların birbirine yakın olma durumunu ifade eden bir kavramdır. Türk toplumu akrabalık ilişkilerine dayalı bir toplum olup akrabalık ilişkilerine değer veren, kültürel değerlerine bağlı bir yapıya sahiptir. Bundan dolayı Türk toplumunun sosyal yaşamında akrabalık terimleri gündelik dilde önemli bir yer tutmaktadır. Ölçünlü Türkçede ve Türkiye Türkçesi ağızlarında da çok sayıda akrabalık adı kullanılmaktadır. Türkiye Türkçesi ağızlarını oluşturan Derleme Sözlüğü akrabalık adları açısından zengin bir söz varlığına kaynaklık etmektedir. Bu söz varlığının tespit edilmesi Türkçede akarabalıkla ilgili söz varlığı çalışmalarına katkı sağlayacaktır. Bu çalışmada Derleme Sözlüğünde yer alan akrabalık ile ilgili adlar kan bağıyla akrabalık bildiren sözcükler, evlilik bağıyla akrabalık bildiren sözcükler ve akrabalıkla ilgili diğer sözcükler olmak üzere üç başlıkta sınıflandırılmıştır.
S-400 HSS Alım Sürecinde Siyasal ve Kurumsal Aktörlerin İncelenmesi: Bir Söylem Çözümlemesi
Authors: ŞEN Y. Furkan , YAŞA A. Gökhan
Published: January 2024

Çalışma kapsam olarak S-400 hava savunma sistemi anlaşması sürecindeki söylemlerin analizini içermektedir. Söylem analizinin gerçekleştirildiği kaynak olarak internet medyası seçilmiştir. Türkiye merkezli yayın yapan internet haber medyası içerisinde en çok ziyaretçi alan siteler Alexa verilerine göre tespit edilmiş ve taranmıştır. Bu kapsamda söz konusu süreç bölümlere ayrılmış ve buna bağlı olarak söylemler analiz edilmiştir. Belirlenen süreçler ise S-400 hava savunma sisteminin teminine yönelik nihai sözleşmenin imzalanması, sistem teslimatlarının gerçekleşmesi, F-35 savaş uçağı programından Türkiye’nin çıkarılması, S-400 sisteminin test edilmesi ve CAATSA yaptırımlarının ilk kez bir NATO ülkesine uygulanması gelişmelerini kapsamaktadır. Buna göre çalışmanın zaman kesiti 29 Aralık 2017 tarihinden başlamakta ve 14 Aralık 2020 günü gerçekleşen olayın yankılarını da dahil ederek sonlanmaktadır. Ayrıca daha sonra yapılan ve süreci şekillendiren önemli söylemlere de yer verilmiştir. Söylem analizi ile aktörler arası ilişkiler ve gelişmeler kriz bağlamında daha net bir şekilde analiz edilebilmiştir. Aktörler arasında ilişkileri etkileyen daha derin ve problematik bir alanın olduğu görülmektedir. S-400 krizi buna bağlı olarak ikili ilişkilerdeki bozulmanın net bir halinin ortaya konulmasını sağlamıştır. Aynı zamanda ortaya çıkan güven bunalımı ve karşılıklı güvensizliğin etkilerini tüm süreç boyunca görebilmek olasıdır. Sonuç olarak S-400 krizi sadece askeri bir tartışma konusu olmamış askeri-siyasi bir kriz niteliğinde ortaya çıkmıştır.
The Effect of Digital Parenting Awareness on Children's Emotion Regulation Skills
Authors: MANAP Abdullah
Published: January 2024

This study investigates the effect of digital parenting awareness on children's emotion regulation skills. The research was designed with a relational screening model. The study group consists of 203 parents with elementary school-age children. Of the participants, 66% (n:134) were female, and 34% (n:69) were male. The mean age was 38.37±7.11. Data were collected through the "Personal Information Form," developed by the researcher, "Digital Parenting Awareness Scale," and "Scale of Emotion Regulation in Children-Adult Form,". Descriptive statistics, correlation, and regression analyses were conducted on SPSS to analyze the data. The findings suggested significant associations between dimensions of digital parenting awareness (negative modeling, digital neglect, efficient use, and protecting from risks) and emotion intensity and regulation. Regression analysis showed that digital parenting awareness predicted children's emotion regulation skills. The increase in negative modeling and neglect and the decrease in efficient use and protection had a negative effect on children’s emotional intensity. The findings were discussed based on the previous literature, and some suggestions were made.
PENGARUH CORPORATE SOCIAL RESPONSIBILITY DISCLOSURE TERHADAP FINANCIAL PERFORMANCE PERUSAHAAN PADA PERUSAHAN PERBANKAN DI BURSA EFEK INDONESIA TAHUN 2020-2022
Authors: Yohanna Earlene Margaretha Simarmata  , Susi Sarumpaet
Published: January 2024

Penelitian ini bertujuan untuk menyajikan bukti empiris mengenai pengaruh pengungkapan tanggung jawab sosial perusahaan (CSRD), serta ukuran dan usia perusahaan sebagai variabel kontrol, terhadap kinerja keuangan pada perusahaan perbankan di Indonesia yang terdaftar di Bursa Efek Indonesia selama periode 2020-2022. Temuan penelitian dapat disimpulkan sebagai berikut. Pertama, hasil penelitian tidak mendukung hipotesis bahwa CSRD berpengaruh negatif terhadap profitabilitas (ROE), meskipun pengungkapan CSRD memengaruhi perolehan pendapatan berdasarkan modal perusahaan. Faktor-faktor seperti penurunan laba dan penghimpunan dana akibat pandemi COVID-19 juga ikut memengaruhi profitabilitas. Kedua, tidak terdapat dukungan untuk hipotesis bahwa CSRD berpengaruh negatif terhadap pertumbuhan (SG). Meskipun tingkat CSRD memengaruhi pertumbuhan penjualan, namun tidak secara signifikan karena dampak penurunan penjualan produk perbankan akibat pandemi COVID-19 juga turut berkontribusi pada pertumbuhan perusahaan. Ketiga, hasil penelitian mendukung hipotesis bahwa CSRD berpengaruh negatif dan signifikan terhadap nilai pasar (PER) perusahaan. Tingkat PER menjadi indikator penting bagi investor dalam membuat keputusan investasi, mencerminkan bagaimana perusahaan menjaga kinerja tanggung jawab sosial perusahaan. Keempat, hipotesis terakhir ditolak, menunjukkan bahwa CSRD berpengaruh negatif tetapi tidak signifikan terhadap nilai tambah (MVA). Meskipun pasar memberikan respons negatif pada perusahaan yang tidak melakukan CSRD, penurunan nilai pasar saham akibat pandemi COVID-19 juga turut berdampak pada nilai tambah perusahaan.
Housing beyond land rent?: A critique of market housing solutionism
Authors: Kipfer Stefan , Sotomayor Luisa
Published: January 2024

Toronto is in a housing crisis. Many residents lack access to adequate and affordable housing. In response, neoliberals and reformers have radicalized their advocacy for more market housing as the only possible alternative. Drawing attention to the role housing plays in the reproduction of labour power and the crisis-ridden dynamic of capital accumulation, we highlight the inability of market housing to meet a range of social needs. We tackle crucial weaknesses of the housing supply argument, including, first, its quantitative orientation; second, its impatience with those who defend existing housing options; third, its historical amnesia; fourth; its pop-economist (mis-)understanding of housing markets; fifth, its superficial critique of zoning, and sixth, its illusory embrace of seemingly alternative ways of organizing housing spatially: mixed-use and inclusionary zoning. Reflecting on the recent municipal by-election in Toronto, we also consider what it would take to shift course towards decommodified and decolonial housing futures.
A structural view on housing movements: Strategic lessons from a field of contention approach
Authors: Florea Ioana , Gagyi Agnes , Jacobsson Kerstin
Published: January 2024

In this article, we share strategic lessons from applying a ‘structural field of contention’ approach to a comparative study of housing struggles in Hungary and Romania since 1989. The aim is not to highlight details and specificities, but to show the benefits of looking beyond individual progressive movements in focus of most previous literature, instead capturing the ideological and structural complexity of housing contention, with different positions on the political spectrum, in an integrated way. With such analytical approach, we can grasp the broader field of relations where various answers to the same structural processes are generated and interact with each other in a dynamic way. In this way, a strategically informative view on how structural processes become politicized can be gained for both housing struggles and engaged research.
Housing as a battlefield
Authors: Vilenica Ana , Reyes Alejandra , Can Aysegul , Cociña Camila , Berryessa-Erich Felicia , Fernández Arrigoitia Melissa , García Lamarca Melissa , Muñoz Solange
Published: January 2024

Since October 2023, we have witnessed the human and material devastation brought about by the horrific mediatised genocide of Palestinians in Gaza and the West Bank, itself preceded by a long history of ‘urbacide’—an intentional form of urban destruction characterised by siege and denied rehabilitation (Chiodelli 2022). In his research on modern warfare and ‘domicide’ in Syria (2022), Amar Azzouz has spoken eloquently about ‘...the millions of ordinary people caught up in today’s wars—wars which have transformed streets, towns and neighbourhoods into battlefields.’ With people’s homes at the centre of these battlefields, we are witnessing the socio-spatial ruination of possible futures through rapid mass displacement and violent, deadly dispossession of land and life. In this Editorial we draw attention to housing as a battlefield—an intentionally aggressive metaphor—because of the violent way people’s homes and livelihoods are being drawn into the discourse and logic of wars and conflicts all over the world in contemporary late capitalism. Such violent forms of housing dispossession occur not only under armed conflicts, but also through institutional forms of housing violations such as recurrent and forced eviction. This is not disconnected from the wider material production of housing injustice, dispossession and homelessness that the RHJ, alongside other critical journals and networks, has sought to historicise, humanise and visibilise with a view towards liberation from, and a transformation of, these processes.
Organising enclaves under Black and Brown leadership in New York City: Imani Henry of Equality for Flatbush (E4F) in conversation with Ana Vilenica
Authors: Henry Imani , Vilenica Ana
Published: January 2024

This Conversation with Imani Henry of Equality for Flatbush (E4F) offers a glimpse into the grassroots organizing and struggles in New York City, particularly in Brooklyn. The conversation delves into the formation and mission of E4F, a Black Lives Matter group established in 2013, which intertwines anti-gentrification efforts with a strong stance against police violence. The interview begins with the context of a recent solidarity action for the Sanderson family, highlighting issues such as deed theft and racially charged harassment faced by the family. Imani Henry details E4F's active involvement in cop watching and its roots in the legacy of the Black Panther Party. The conversation also touches upon the organization's broader Brooklyn-wide initiatives, including food distribution during the pandemic. Key themes emerge, such as the intersection of race and housing, the dynamics of community-led resistance, and the importance of fostering enclaves under Black and Brown leadership.
Like a fellow traveler of organizers: A conversation with Allan Heskin on multicultural housing organizing
Authors: Fernández Arrigoitia Melissa , Ferreri Mara , Heskin Allan
Published: January 2024

In March 2023, RHJ editors Melissa Fernández Arrigoitia and Mara Ferreri had a long online chat with Allan D. Heskin on his life and committed work linking community advocacy, housing organizing and planning scholarship, as collected in books such as The Struggle for Community (1991). This is an edited, re-ordered version of that conversation. It contains some conversational references to Allan’s work, which may read as gaps in the structure but rather than explaining things in smoothed detail, we invite readers to delve into the rich material Allan has written. We cannot overstate the value of his ethnographic analysis and planning perspectives.
Pengaruh Endorphin Massage Terhadap Kelancaran ASI Pada Ibu Menyusui
Authors: Ana Rofika
Published: January 2024

Pendahuluan: World Health Organization (WHO) dan United Nations Children’s Fund (UNICEF) merekomendasikan pemberian nutrisi yang optimal bagi bayi baru lahir melalui strategi global pemberian ASI eksklusif selama enam bulan. Tidak semua ibu post partum langsung mengeluarkan ASI karena pengeluaran ASI merupakan suatu interaksi yang sangat komplek antara rangsangan mekanik, saraf dan bermacam-macam hormon yang berpengaruh terhadap pengeluaran oksitosin. Penurunan produksi ASI pada hari – hari pertama setelah melahirkan dapat disebabkan oleh kurangnya rangsangan hormon oksitosin dan prolaktin yang sangat berperan dalam kelancaran ASI, sehingga menyebabkan ASI tidak segera keluar setelah melahirkan.

Metode: Penelitian ini bertujuan untuk mengetahui adakah pengaruh pijat endorphin terhadap kelancaran ASI pada ibu menyusui di desa sinomwidodo. Jenis penelitian ini menggunakan metode pre-experimental, dengan desain yang digunakan adalah one-group pretest-posttest design. Penelitian ini terdiri dari 1 kelompok perlakuan yaitu kelompok pijat endorphin. Populasi dalam penelitian ini adalah 20 ibu nifas di Desa Sinomwidodo. Adapun untuk teknik sampling menggunakan purposive sampling. Sampel dalam penelitian ini sebanyak 20 responden.

Hasil: Dapat disimpulkan berdasarkan hasil uji hipotesis menunjukkan nilai sig = 0,001 <0,05 sehingga terdapat pengaruh yang signifikan endorphin massage terhadap kelancaran ASI pada ibu menyusui.

Saran: Hasil penelitian ini diharapkan menjadi masukan bagi profesi bidan dalam upaya meningkatkan  pelayanan  tambahan  pada  masa  nifas  serta  sebagai treatment untuk mengatasi masalah kelancaran ASI pada masa nifas.

 

Kata Kunci: Ibu menyusui, Pijat endorphin, Kelancaran ASI.
PLANO EDUCACIONAL INDIVIDUALIZADO COMO PRINCIPAL FERRAMENTA PEDAGÓGICA E INCLUSIVA
Authors: Da Silva Souza Adrieny Mary , Porto Frazão de Sousa Luciane , Gomes Vera Lucia
Published: January 2024

O presente artigo descreve a relevância da implementação do Plano Educacional Individualizado (PEI), como principal ferramenta pedagógica e inclusiva para os alunos com deficiência. O objetivo foi promover estratégias e possibilidades lúdicas que contribuem para interação e desenvolvimento educacional dos alunos com deficiência intelectual. A metodologia utilizada foi estudo de caso e pesquisa bibliográfica e documental, que contemplem os direitos, possibilidades e possíveis propostas para a melhor interação e socialização dos alunos com deficiência, matriculados nas escolas regulares. Concluiu-se que o desenvolvimento do PEI abordando a ludicidade do jogo, foi fundamental para o desenvolvimento da criança, possibilitando seus interesses nas contagens dos números, favorecendo sua criatividade, cumprimento de regras, autonomia entre muitos outros benefícios educacional e social.
TRANSTORNO DO ESPECTRO AUTISTA E OS DESAFIOS DA INCLUSÃO NO MERCADO DE TRABALHO
Authors: Morais Gomes Iverson , Lopes Bastos Willian , Gomes Vera Lucia
Published: January 2024

O presente artigo tem por finalidade analisar as pesquisas relacionadas à inclusão de pessoas com Transtorno do Espectro Autista no mercado de trabalho, utilizando como metodologia pesquisa bibliográfica e documental. O autismo é considerado um transtorno que provoca déficits persistentes na comunicação social e na interação social, padrões restritos e repetitivos de comportamento, interesses ou atividades, sendo que presença dos sintomas se apresenta em idade precoce e em contextos sociais e esses sintomas juntos devem limitar a funcionalidade da criança. Os resultados da pesquisa mostram que apesar de ser um tema bastante discutido recentemente, tem sido realizado poucos estudos sobre mercado de trabalho e o transtorno. Concluimos também que é necessário a ampliação de políticas públicas nessa área, além da sensibilização dos empregadores, acesso a informação sobre as especificidades do autismo, conhecimento sobre os direitos dessas pessoas, para minimizar os preconceitos, pré-conceitos e discriminação e, assim, garantir o cumprimento de seus direitos sociais, sua participação na sociedade, independência e autonomia.