bluuebunny/crossref_metadata_2025_split huggingface dataset:
PYTHON IN ORDINARY DIFFERENTIAL EQUATIONS LEARNING
Authors: Sugiarto Sigit , Lekitoo John Nandito , MA Ratnah Kurniati 
Published: October 2024

Using software in mathematics learning can improve students' soft and hard mathematics skills at the high school and college levels. Therefore, using software in the learning process is important, including in learning Differential Equations. This research examines the use of the Python programming language with Jupyter Lab software and the SymPy library in solving ordinary differential equation problems symbolically in the Differential Equations course. The use of the Python programming language in Differential Equations learning includes solving linear ordinary differential equations of first-order, second-order, higher-order, and the Laplace transform. This research also examines the effect of using Python on the learning outcomes of differential equations of Mathematics Education Study Program students, Study Program Outside the Main Campus, Pattimura University. The population in this quantitative research is all students who programmed differential equations courses in the even semester of the 2023-2024 academic year as many as 19 students. The Python programming language can be used to solve differential equation problems symbolically easily, quickly, and accurately. In addition, using Jupyter Lab makes the process of solving differential equation problems easier and more interactive. Furthermore, t-test results show that the use of Python in learning differential equations can improve students' learning activities and learning outcomes. Using the Python programming language with Jupyter Lab software and the SymPy library can be developed to create teaching materials, textbooks, and reference books for Differential Equations courses.
GEOGRAPHICALLY WEIGHTED MACHINE LEARNING MODEL FOR ADDRESSING SPATIAL HETEROGENEITY OF PUBLIC HEALTH DEVELOPMENT INDEX IN JAVA ISLAND
Authors: Suprayogi Muhammad Azis , Sartono Bagus , Notodiputro Khairil Anwar 
Published: October 2024

Random Forest (RF) machine learning models have emerged as a prominent algorithm, addressing problems arising from the sole use of decision trees, such as overfitting and instability. However, conventional RF has global coverage that may need to capture spatial variations better. Based on the analysis of the level of public health development, the relationship between the level of health development and risk factors can vary spatially. We use a modified RF algorithm called Geographically Weighted Random Forest (GW-RF) to address this challenge. GW-RF, as a tree-based non-parametric machine learning model, can help explore and visualize relationships between the Public Health Development Index (PHDI) as response variables and factors that are indicators at the district level. GW-RF output is compared with global output, which is RF in 2018 using the percentage of the population with access to clean/decent water (X1), consumption of eggs and milk per capita per week (X2), number of healthcare facilities per 1000 people (X3), number of doctors per 1000 people (X4), pure participation rate ratio female/male (X5), percentage of households that have hand washing facilities with soap and water (X6) as independent variables. Our results show that the non-parametric GW-RF model shows high potential for explaining spatial heterogeneity and predicting PHDI versus a global model when including six major risk factors. However, some of these predictions mean little. Findings of spatial heterogeneity using GW-RF show the need to consider local factors in approaches to increasing PHDI values. Spatial analysis of PHDI provides valuable information for determining geographic targets for areas whose PHDI values need to be improved.
FACTORS AFFECTING INDONESIAN PADDY HARVEST FAILURE: A COMPARISON OF BETA REGRESSION, QUASI-BINOMIAL REGRESSION, AND BETA MIXED MODELS
Authors: Kusumaningrum Dian , Hidayat Agus Sofian Eka , Notodiputro Khairil Anwar , Kurnia Anang , Sartono Bagus , Sumertajaya I Made 
Published: October 2024

The Paddy harvest failure rate is one of the key aspects in determining the total number of claims in a crop insurance policy. It is also an important factor indicating the fulfillment of targeted total production. Therefore, we proposed Beta Regression, Quasi Binomial Regression, and Beta Mixed Models which can be used to analyze significant variables affecting paddy harvest failure rates. Model selection and evaluations indicated that the Nested Beta Mixed Model is the best. Previous research has shown four significant fixed effect variables: drought, flood, pests, and disease risks. Pests and other types of risks also affect the variability of loss rate. All variables have positive effects, indicating higher values cause a higher possibility of a higher average harvest failure rate. High variability was shown for province, municipality, and farmers' random effects. Hence, to prevent a more significant loss rate, MoA should consider more intensive and innovative participatory activities in farmer groups to enhance good farming practices, especially for farmers who suffer from certain risks. These activities should also consider the local characteristics of each province or municipality. As for AUTP development and improvement, farmers with lower failure risks could be given a discounted premium to make it more appealing.
Booksnaps or Ms Word? Which One Is Better in Developing Reading Comprehension across Critical-Creative Thinking Levels
Authors: Yohana Elva , Cahyono Bambang  Yudi , Suryati Nunung , Astuti Utari Praba 
Published: October 2024

The study investigates which of the two summary writing techniques (one using BookSnaps and the other using MS-Word) affects reading comprehension performance better than the other. It also examines whether or not level of critical-creative thinking skills affects the results. This study used a causal-comparative design. Two groups of students were involved in this study and after the treatment they were tested on their reading comprehension performance across critical-creative thinking skill levels. The results showed that the reading comprehension performance of the two groups of students were not different significantly regardless of the summary writing techniques used. The results also showed that students with high level of critical-creative thinking skill outperformed the students with low critical-creative thinking skill in each of the two groups. This implies that teachers might use either BookSnaps or MS- Word to train the students in summary writing. However, when dealing with students with low critical-creative thinking level, the teachers might give more time in the process of summary writing or give assistance to students who need it when applying either BookSnaps of MS-Word.
RDW-SD - A more sensitive marker of anisocytosis than RDW-CV in patients with macrocytosis
Authors: Dangare Harsha , Janice Jaison , PS Murgod 
Published: October 2024

Background: Anisocytosis is a variation in RBC size. This can be conventionally observed on peripheral blood smear microscopy and also by red cell distribution width, a RBC parameter obtained on automated hematology analyzers. Red cell distribution width is considered a quantitative measure of anisocytosis and does not carry subjective variation associated with microscopy and it is reported as RDW-CV % and RDW-SD. Both these values are calculated differently. Although it is one of the most frequently used hemogram parameters for anisocytosis, it is not well understood. This study aimed to compare the sensitivity of RDW-CV and RDW-SD as markers of anisocytosis in macrocytosis.
Material and methods: This was a cross-sectional prospective observational study conducted in a laboratory of a tertiary care hospital in western India. The sample size of 138 was calculated at a precision 0.1 and 90% confidence interval. 138 blood samples each from patients with macrocytosis and normocytosis control group were analysed.
Results: The range for RDW-CV & RDW-SD was 12.59%-15.13% & 40.05-47.81fl respectively in our population. Gender-wise distribution showed 72% male & 28% female. The Z score value of 4.12 (>1.96 is significant) reflected a significant difference in anisocytosis detection using RDW-SD compared to RDW-CV in macrocytosis.
Conclusions: RDW-SD is a more sensitive marker of RBC anisocytosis than RDW-CV in macrocytosis.
An analysis of vitamin D testing over recent years
Authors: Pant Vivek , Gautam Keyoor , Pyakurel Devish , Pradhan Santosh 
Published: October 2024

Testing for vitamin D deficiency increased over the past years among Nepalese population. The aim of this study is to investigate the trends in the incidence of testing for vitamin D and the prevalence of patients with circulating concentrations of Vitamin D indicative of toxicity (>100 nmol/L) between 2015 and 2022.
Innovative Approach: The Role Of Counseling Guidance Teachers Through Zoom Meetings In Improving Learning Guidance And Learning Supervision For Vocational School Students In Jember
Authors: Haryono Nono 
Published: October 2024

students who are less controlled in their relationships so there is a need for guidance and supervision in learning by counseling teachers. The role of the counseling teacher using Zoom Meeting Media shows the importance of context in the association known to students and the process of coaching to supervision by the students themselves so that the concepts received by students are more meaningful. This research is in the form of causal quantitative (causality quantitative) with the research subject of class X students of SMK Plus Bustanul Ma'arif Gumukmas in the 2023/2024 academic year. The purpose of this study is to increase the role of counseling teachers with Zoom Meeting media in improving the guidance and supervision of grade X students' learning. The data in this study are quantitative data obtained from tests of student knowledge and understanding through questionnaire tests. The results of this study indicate: the influence of the role of the counseling teacher by using Zoom Meeting media on student learning coaching is 78.8%, the influence of the role of the counseling teacher by using Zoom Meeting media on student learning supervision is 70.6%, and the influence of the role of the counseling teacher in using Zoom Meeting media on student learning coaching and supervision together is 79.8%. This means that the application of the counseling teacher's role approach in coaching and supervising students has a significant effect.
Concepts from the Global South
Authors: Pernau Margrit 
Published: October 2024

Abstract
Taking its starting point from Dipesh Chakravarty's Provincializing Europe and in particular European analytical concepts, this article argues that it is time to move beyond the diagnosis of “inadequate, but indispensable.” I discuss three approaches that have been suggested for the development of analytical concepts for global history: the creation of equivalents across languages by the historical subjects; the identification of problems as a starting point to trace the language that has been developed to discuss them; and comparison. I then propose a strategy, based on Rolf Reichardt's semantic nets, but taking it beyond its reliance on words, and words in one language only. I argue that these revised semantic nets have the potential to allow us to both trace connections between languages and generate concepts for our analyses, if and when needed, which are not necessarily universal in claim, but transcend source concepts in individual languages.
The Concept of the Political in India
Authors: Mitchell Lisa 
Published: October 2024

Abstract
Efforts to trace the concept of the political in India and South Asia have looked for equivalent terms in the languages of the subcontinent and have traced textual influences of ideas both globally and within South Asian literary traditions. While not diminishing the importance of textual approaches, this article traces the historical emergence of associations between the concept of the political and the joint actions and collective practices of amplification frequently used to communicate with rulers. It argues that under British rule many of the accepted methods and moral economies condoned for communicating with rulers were explicitly criminalized and came to be recognized as political only in response to this criminalization. By attending to a history of practices and their associations with wider “semantic nets,” the article also offers methodological reflections on the relationships between histories of doing, histories of concepts, and the lexicons through which these can be traced.
Israel Zangwill
Authors: Cheyette Bryan 
Published: October 2024

Abstract
Israel Zangwill (1864–1926) was the best-known Jewish anglophone writer and public intellectual during his lifetime. There has been a contemporary resurgence of interest in Zangwill's life and work in Britain, France, America and Israel, which will be discussed in the introduction and is illustrated by the articles in the special issue. I focus on the legacies of Zangwill both locally and globally. At the heart of the introduction is the way that Zangwill's legacy varies in different national cultures. It explores how Zangwill reuses the idea of the ghetto from the German tradition of ghetto literature; radicalises Herzl's political Zionism in the form of Jewish territorialism; and refashions President Roosevelt's idea of the melting-pot for popular consumption.
‘No Virtue in Consistent Lying’
Authors: Almagor Laura 
Published: October 2024

Abstract
Israel Zangwill's diverse and changing political outlooks and activities have often led to scholarly confusion as to how to understand his contributions to Jewish politics. The efforts of Zionist historians, such as Benzion Netanyahu, have reduced the nuances of Zangwill's various political endeavours to a purely Zionist narrative. Departing from the premise that an intellectual-biographical lens offers the best approach to make sense of the seeming inconsistencies that appear during an individual's lifetime, this article employs a deep reading of some of Zangwill's political writings and correspondence. I identify and explore three inter-related thematic frameworks in which the Anglo-Jewish writer has been often understood most reductively: his changing position vis-à-vis Zionism; his engagement with issues of race and indigeneity in both a Western and a colonial/imperial context; and his presumed advocacy of the transfer of Arab Palestinians.
Contemporary Wolf Hunters in the Taiga of the Sakha Republic (Yakutia)
Authors: Jefanovas Aivaras , Brandišauskas Donatas 
Published: October 2024

Abstract
This article presents two ethnographic case studies illustrating the practices and perceptions of contemporary wolf hunters (volchatniki) in the Sakha Republic (Yakutia). We aim to show how contemporary volchatniki rely on individual strategies such as self-crafted technologies and hunting magic. Hunting of wolves must be understood in terms of mutual intimate sensory interplay, an exchange that can be perceived as intersubjective communication between human and non-human persons. This personal interaction creates bonds between humans and certain wolves, allowing some wolves to survive. Despite the technocratic attitude of the Soviet era that wolves were a pest species to be exterminated, volchatniki of today perceive wolves as conscious subjects displaying personality and character. Animistic assumptions of non-human agency play an important role in wolf hunting, in combination with technological advances.
Siberian Regionalism as a Phenomenon of Social Thought in Late Imperial Russia
Authors: Malinov Alexey V. 
Published: October 2024

Abstract
This article considers regionalism (oblastnichestvo) as an independent direction in the history of Russian thought and culture. Four varieties of regionalism are pointed out: Russian, Ukrainian, Siberian, and Western Russianism (zapadnorussizm), which held the principles of federalism in common. The philosophical and methodological basis of regionalism was narodnichestvo (populism)—the ideology and movement of the intelligentsia in Russia in the second half of the nineteenth century. Narodnichestvo was against serfdom and capitalist development in Russia, and for the overthrow of the autocracy by means of a peasant revolution, positivism, and Slavophilism. The program of the regionalists was addressed to the provincial intelligentsia and was largely aimed at the formation of an intelligentsia called to serve their region. The program of Siberian regionalism is considered in more detail.
ЛІНГВІСТИЧНІ ЗАСАДИ НАВЧАННЯ СИНТАКСИСУ МАЙБУТНІХ УЧИТЕЛІВ АНГЛІЙСЬКОЇ МОВИ
Authors: Пальчикова Олександра 
Published: October 2024

Статтю присвячено проблемі визначення лінгвістичних засад навчання синтаксису майбутніх учителів англійської мови. Констатовано, що вихідні положення лінгвістики становлять підґрунтя для розроблення методик навчання певного розділу граматики, зокрема синтаксису. Встановлено залежність між компетентним володінням англійською мовою та послуговуванням лінгвістичним матеріалом у межах синтаксичного мовного рівня. З’ясовано показник результативного використання англомовного матеріалу – здатність об’єднувати фонеми, лексеми, морфеми, синтаксеми у межах синтаксичного мовного рівня та розуміти способи їх зв’язку для коректного формування фраз і надфразних єдностей, тексту і надтекстових компонентів. Актуалізовано необхідність навчання синтаксису англійської мови в межах університетського курсу, що передбачає вільне оперування лінгвістичними одиницями під час спонтанного мовлення, коректне оформлення висловлень протягом усної / письмової комунікації, уникнення шаблонного мислення в процесі створення текстових фрагментів у різних типах дискурсу. Проаналізовано та узагальнено дефініції терміна «синтаксис», запропоновані в розвідках зарубіжних і вітчизняних науковців – розділ науки про мову, що аналізує систему синтаксичних одиниць і правил їх утворення; розділ граматики, що акцентує на структурі синтаксичних одиниць та синтаксичних зв’язках. Виокремлено синтаксичні одиниці, що потребують розгляду під час навчання синтаксису англійської мови: слово, фраза, конструкція, клоз, речення, текст.
ДЕРЖАВНА ОСВІТНЯ ПОЛІТИКА ЯК СОЦІАЛЬНО-ПОЛІТИЧНИЙ ФЕНОМЕН В УМОВАХ ДЕЦЕНТРАЛІЗАЦІЇ
Authors: Онаць Олена , Чижевський Борис 
Published: October 2024

У статті висвітлено підходи до здійснення державної освітньої політики як соціально-політичного феномену в умовах децентралізації на основі аналізу ідей, поглядів, позицій зарубіжних і вітчизняних науковців; визначено сутність поняття «державна освітня політика» та характеристики означеного феномену.
Виявлено, що основними пріоритетами політики освіти, які визначені в законодавстві про науку і освіту, нормативно-правових актах, є: підвищення якості та ефективності виховання і навчання; доступність освіти для всіх (рівність та соціальна справедливість); забезпечення необхідним і достатнім фінансуванням; підвищення ефективності і прозорості використання коштів; зміцнення зв’язків із інноваційною економікою знань та ринком праці.
Окреслено основні завдання і показники демократичної освітньої політики держави в умовах децентралізації та територіально-адміністративної реформи, її зорієнтованість на поєднання й збалансування інтересів особи, спільноти, суспільства, держави, політичної доцільності, пріоритетом розвитку яких є здійснення контролю та самоконтролю, аналізу та самоаналізу, оцінки та самооцінки розвитку закладів освіти та кожного учасника навчально-виховного процесу.
Обґрунтовано, що значення і роль демократичної політики підвищуються у зв’язку із наявними тенденціями децентралізації, які характеризуються процесом делегування та передачі частини повноважень та функцій вищими рівнями управління нижчим (від центральних органів виконавчої влади до місцевих органів самоврядування та регіональних органів виконавчої влади), який відбувається через зростання масштабів складності систем управління; розширенням кола повноважень; розвитком автономії та самоврядності закладів освіти, а в широкому розумінні – демократизації й відкритості діяльності центральної влади на основі законодавчо визначених засадничих принципів, зобов’язань, критерії, пріоритетних напрямів та параметрів.
Estimation of Premium Reserves for Last Survivor Endowment Insurance Using the New Jersey Method
Authors: Ananda Bella Dwi , Sudding Fauziah Nur Fahirah 
Published: October 2024

There are a few cases of life insurance firms going bankrupt due to mistakes when estimating premium reserves, causing companies unable to pay compensation to policyholders. This is caused when the number of claims submitted by the insured that must be paid exceeds the number of claims previously estimated. Situations like this can be anticipated if the insurance firm has a properly prepared and calculated reserve value. There are various types of life insurance, one of which is endowment life insurance. The purpose of this study is to calculate the amount of reserves adjusted for last survivor endowment life insurance using the New Jersey method. To compute reserves, first, researchers determine the benefits, then the annuity, and finally the annual premium. In the first year, the premium reserve value under the New Jersey method is zero. The New Jersey method begins premium reserves in the second year, for <em>t</em> years, with where reflecting the duration of the insurer's contract. Based on the data analysis performed, the value of the New Jersey reserves for the two insureds is determined by the length of the insurance contract and the age of the insured at the time of insurance. The value of reserves is seen based on the initial age of a person when starting insurance, the older the initial age of the insurance participant, the greater the amount of reserves obtained by the company. This research is expected can be a reference and help insurance field to estimate premium reserves.
Comparison Between Machine Learning Regression Modelling to Predict Individual Premium Price
Authors: Antoro Srava Chrisdes , Manurung Elisabeth Gloria , Randalline Essykapna , Irsan Maria Yus Trinity 
Published: October 2024

<p>Machine Learning (ML) applications in healthcare aim to simplify people's lives by swiftly predicting and diagnosing diseases, outpacing the capabilities of most medical experts. A direct connection is established when technology, particularly digital health insurance, is employed to minimize the gap between insurance providers and policyholders. This has significantly transformed the way insurers create health insurance policies and has led to faster service delivery for consumers. Machine learning is utilized by insurance companies to offer clients precise, prompt, and efficient health insurance coverage. In this study, a regression method was trained and assessed to which one gets the bigger accuracy to forecast premium prices. The researchers accurately predicted the premium prices individuals incur based on various factors, such as age, diabetes, blood pressure issues, height, and weight. The experimental outcomes revealed the best method to predict is the KNN method in the data set that was used in the analysis, with an impressive accuracy of 87.73%. In comparison, the Random Forest is 87%, and the Boosting is 87.19% and the authors analyzed the model's performance using key metrics to assess its effectiveness. </p>