bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUATION OF MEAN PLATELET VOLUME AND 25 HYDROXY VITAMIN D LEVELS IN GESTATIONAL DIABETIC WOMEN
Authors: Turan Kadri , Adaş Mine , Erkuş Edip , Kahramaner Murat
Published: July 2024

Aim: According to few studies which tried to evaluate mean platelet volume (MPV) and 25 hydroxy vitamin D, have shown conflicting results in gestational diabetic patients. In this study we aimed to compare main platelet volume and 25 hydroxy vitamin D values between gestational diabetic patients and healty individual pregnant womens.
Material and method: The patients were selected from 24-28 weeks pregnant people who made gestational diabetes screening and oral glucose tolerance test from obstetric-gynecology, diabetes and endocrinology polyclinics of Okmeydanı Training and Research Hospital. After the searching 52 gestational diabetic patients and 52 healty pregnant women included to the study. We estimated MPV and vitamin D level. In addition, demographic and clinical data of subjects were recorded.
Results: Mean platelet volume (MPV) value was found 8,5 ± 1,0 fl and 8,3 ± 1,1 fl. in gestational diabetic and control group respectively. There was no statistically significant differences in MPV value between case and the control group (p>0.05). Mean 25 hydroxy vitamin D value was found 20.5 ± 11.0 ng/ml and 21,1 ± 9,3 ng/ml. gestational diabetic and control group respectively. There was no statistically significant differences in 25 hydroxy (OH) vitamin D value between case and control group.
Conclusion: In our study we found no statistically significant differences in MPV and 25-OH vitamin D values between gastational diabetic pregnant group and healty pregnant group.
Balancing pH for enhanced bacterial community performance in microbial fuel cells: implications for bio-electricity generation and pollutant reduction
Authors: Mosammat Mustari Khanaum  , Shafiqur Rahman  , Md. Saidul Borhan  , Peter Bergholz
Published: July 2024

Microbial fuel cells (MFCs) represent a promising technology to generate bio-electricity and synchronously reduce wastewater pollutants. The presence of exoelectrogens in wastewater is critical for bio-electricity and pollutant reduction, but the performance of exoelectrogens at different pH levels remains unknown. This study aims to bridge this gap by offering an integrated approach to understanding the performance of exoelectrogens under varying substrate pH, particularly in bio-electricity generation and pollutant reduction in sugarbeet processing wastewater (SBWW). Three pH levels (ranging from acidic to alkaline) were studied and MFC's electricity output was measured. Later, current density, power density, and coulombic efficiency (CE) were calculated. Both pre- and post-experiment substrate samples were analysed with inductively coupled plasma (ICP). Furthermore, 16S rRNA gene analysis, DNA amplification, sequencing library preparation, and bioinformatics workflows on post-experiment samples of the substrate and anode samples were conducted. A diverse community of microorganisms was identified, especially Alphaproteobacteria, Gammaproteobacteria, and Deltaproteobacteria (Geobacter). Bacteroidetes and Desulfovibrio were the major exoelectrogens responsible for electricity generation. Among the three pH levels tested, the most alkaline pH level (9.5±0.1) outperformed the others, achieving a 54% higher power density, 21% greater current density, and a 40% higher CE compared to the acidic pH level (6.5±0.1). Around 50–99% of pollutants were removed from the SBWW. The study revealed that Gammaproteobacteria thrive and perform better in alkaline environment.
An ichnotaxonomic assessment of the Cretaceous Dakota Group, Front Range, Colorado, USA, and its comparison to other Western interior seaway deposits
Authors: Oligmueller Andrew R. , Hasiotis Stephen T.
Published: July 2024

The Aptian-Cenomanian Dakota Group along the Colorado Front Range is known for its dinosaur tracks; however, it also contains extensive invertebrate marine and continental trace fossils. The Dakota Group in Colorado is subdivided into the Lytle, Plainview, Glencairn (Cañon City), Skull Creek Shale (Denver, Fort Collins), and Muddy formations. Thirty-two invertebrate ichnogenera and 34 ichnospecies were identified: Archaeonassa, Arenicolites, Asterosoma, Asthenopodichnium, Aulichnites, Chondrites, Cochlichnus, Conichnus, Cruziana, Cylindrichnus, Diplocraterion, Gyrolithes, Lockeia, Macaronichnus, Margaritichnus, Naktodemasis, Ophiomorpha, Palaeophycus, Planolites, Protovirgularia, Rhizocorallium, Rosselia, Rusophycus, Schaubcylindrichnus, Scolicia, Skolithos, Taenidium, Teichichnus, Teredolites, Thalassinoides, Treptichnus, and Zoophycos. Six tetrapod ichnogenera and three ichnospecies were identified: Caririchnium, Dromaeosauripus, Hatcherichnus, Ostendichnus, Magnoavipes, and Tetrapodosaurus. Three tetrapod ichnogenera Chelonipus, Ignotornis, and Mehliella have been reported at other sites in the Dakota Group, but none were found at our study sites. Rhizohaloes are reported in the Muddy Formation. Three vertebrate ichnogenera and two ichnospecies were previously described elsewhere by other workers. The Dakota Group trace fossils comprise eight ichnocoenoses–Caririchnium, Diplocraterion, Lockeia, Naktodemasis, Rhizohalo, Scolicia, Skolithos-Teichichnus, and Zoophycos–representing dwelling, deposit- and filter-feeding, and locomotion behaviors of plants, invertebrates, and tetrapods. Twelve previously unreported ichnogenera were identified: Archaeonassa, Asthenopodichnium, Conichnus, Cylindrichnus, Gyrolithes, Macaronichnus, Naktodemasis, Protovirgularia, Rusophycus, Taenidium, Treptichnus, and Zoophycos. This study is the first systematic ichnotaxonomic assessment of the invertebrate trace fossils of the Dakota Group along the Colorado Front Range, which has the highest reported ichnodiversity when compared to other Western Interior Seaway deposits.
Plantas medicinales de las parroquias: Nulti, Paccha, Quingeo, Santa Ana, Tarqui, Turi, El Valle
Authors: Portilla Farfán Fredi ,   Universidad Politécnica Salesiana (Ecuador), Zea Cobos Geovanna , Cazorla Orellana Pedro ,   Universidad Politécnica Salesiana (Ecuador),   Universidad Politécnica Salesiana (Ecuador)
Published: July 2024

En la presente investigación, se recopiló información sobre el uso de plantas medicinales por parte de la población de las parroquias rurales de Nulti, Paccha, Quingeo, Santa Ana, Tarqui, Turi y El Valle en el Cantón Cuenca, Ecuador. El objetivo principal fue contribuir a la preservación y validación científica del conocimiento empírico y cultural de la medicina tradicional de la comunidad rural. Se realizaron encuestas semiestructuradas a 117 personas en las diferentes parroquias y se entrevistó a 26 informantes clave. Como resultado, se registraron alrededor de 96 especies vegetales con usos medicinales. Esta investigación también reveló que las mujeres mayores de 30 años fueron las principales responsables de preservar la medicina tradicional. Además, se encontró que la infusión es el método de preparación más utilizado para las plantas medicinales. En cuanto a las familias botánicas más utilizadas, se identificó que las Asteraceae y Laminaceae fueron las más comunes en el tratamiento primario de la salud por parte de la población rural. Con base en estos hallazgos, se elaboró una guía etnobotánica y fitoquímica que busca revalorizar el conocimiento de la flora medicinal utilizada por la población rural. El objetivo es evitar la pérdida de este saber tradicional, que es parte del patrimonio cultural de nuestro país.
Sarcoma cardiaco: oltre il trapianto di cuore. Un caso clinico
Authors: Ferrari Chen Yu Fu , Caravelli Paolo
Published: July 2024

Le masse cardiache comprendono tumori cardiaci primitivi e secondari. I tumori cardiaci primitivi sono prevalentemente benigni e solo una piccola parte sono maligni. Tra questi, le forme più frequenti sono rappresentate dai sarcomi, che possono rivelarsi particolarmente aggressivi, soprattutto a livello locale. Un esempio di sarcoma caratterizzato da alta invasività si è presentato all’attenzione dei medici dell’Azienda Ospedaliera Universitaria Pisana come recidiva di sarcoma intimale, precedentemente trattato, prima con resezione parziale e poi con trapianto cardiaco. Dopo discussione collegiale, dato l’alto rischio di morte cardiaca improvvisa, il paziente è stato sottoposto a trattamento chirurgico di debulking, accompagnato da complicanze perioperatorie, ed è stato indirizzato a trattamento radioterapico. Il caso clinico mette in luce la necessità di un approccio multidisciplinare per delineare la migliore strategia possibile per un paziente complesso, ove neppure il trapianto cardiaco si è mostrato sufficiente ad arrestare la progressione di malattia.
Cardiotossicità radioterapica: quello che non ti aspetti
Authors: Piccirillo Simona , Santoro Ciro , Rea Francesco Saverio , Prastaro Maria , Esposito Giovanni
Published: July 2024

La radioterapia svolge un ruolo fondamentale nei protocolli di gestione di alcune patologie tumorali. Con la diffusione di questa tecnica terapeutica e l’’aumentato della sopravvivenza dei pazienti oncologici sottoposti a radioterapia del torace si è assistito ad un progressivo aumento dell’incidenza malattie cardiovascolari, espressione della tossicità secondaria della RT, che hanno suscitato grande interesse dalla comunità scientifica negli ultimi anni, permettendo di approfondire gli aspetti fisiopatologici, diagnostici e terapeutici.
Soret Effect of Unsteady Parabolic Flow Past an Accelerated Vertical Plate with Constant Temperature and Mass Diffusion in t he Presence of Rotation
Authors: Nandakumar V ,   Department of Mathematics, Vels Institute of Science, Technology & Advanced Studies, Tamil Nadu, India, Senthamilselvi S
Published: July 2024

Objective: Circular force's detrimental effects on inhomogeneous parabola circulation over an upright slab that rapidly accelerates in uniform temperature and continuous mass dispersion are discussed. There is no electrical conductivity in the liquid in question. Methods: The solutions for the temperature, concentration, and velocity profiles were identified through the Laplace transformation methodology. Findings: Graphical drawings displaying several specifications, include the acceleration parameter, Schmidt value, Soret value, Hartmann number, thermal Grashof number are used to illustrate the results that were obtained. It is noted that as the values - thermal Grashof number -increase, speed also increases. Regarding Schmidt and Prandtl numbers, the tendency is the opposite. Novelty: The unique aspect of this work is its thorough analysis of the Soret Effect in an erratic, rotating, parabolic flow past an accelerating vertical plate with mass diffusion and constant heat. The work closes gap in the literature by addressing these particular conditions and offers insightful conclusions and useful techniques that may be used to a variety of scientific and engineering issues. This study investigates the impact of rotating effects and Soret impact on erratic convective movement in a vertical plate. Results show that Schmidt number and wall thickness increase over time, while temperature patterns rise with increasing Sr and Sc levels. The Prandtl number depends on air and water temperatures. The study fills a literature gap and provides valuable insights for various scientific and practical applications. Keywords: Soret effect, Turning, Mass dissemination, Parabolic, Vertical surface
Double Burden of Malnutrition and Other Associated Factors among Reproductive Age Group Women in Assam, India
Authors: Dutta Surabi ,   Assistant Professor, Department of Economics, Women’s College, Tinsukia, Assam, India
Published: July 2024

Objective: This study aims to assess the Double Burden of Malnutrition (DBM) and its associated factors among reproductive age group women in Assam, India. Methods: Based on a multistage sampling procedure, a total of 736 reproductive age group women from four districts of Assam were selected as the final sample unit. The sample units are grouped as rural (total 310 samples) and urban (total 426 samples) and data is collected from June to December 2022 based on a structured questionnaire. The classical measure of anthropometry is used to collect data on the height and weight of the respondents. The anthropometric rod to the nearest 0.1 cm is used to measure women’s height and a portable weighing machine is used to measure their weights. The Body Mass Index (BMI) of sample women is calculated to assess the existing double burden of malnutrition. Findings: It is found that around 40 % of women in the study area are at risk of DBM. The risk of underweight is higher among rural women (29.4%). On the other hand, the severity of overweight is higher among urban women (20.2%) as compared to their rural counterparts (14.2%). The multinomial logistic regression analysis shows that women belonging to food-insecure households are at a 0.674 % higher risk of being underweight. Women’s employment and availability of basic amenities reduce the risk of being underweight by 47.2% and 80.9% respectively. Women’s dietary diversity, employment, and their age significantly affect their overweight status. Novelty: The socioeconomic and demographic factors considered in the study are based on household level as well as women’s individual status and quantify the potential qualitative issues affecting women’s DBM. This study will certainly provide a basis for further research on DBM in different settings and thereby to adopt strategic interventions. Keywords: Underweight, Overweight, Body Mass Index, Reproductive women, Assam
Diabetes Prediction and Recommendation Model Using Machine Learning Techniques and MapReduce
Authors: Bateja Ritika ,   Ph.D. Scholar, Department of Computer Science and Engineering, ASET, Amity University Uttar Pradesh, Noida, India, Dubey Sanjay Kumar , Bhatt Ashutosh Kumar
Published: July 2024

Objectives: To deliver patient centric healthcare for diabetic patients using a fast and efficient diabetic prediction and recommendation model which will not only help in early diagnoses of disease but also recommend appropriate medicine for controlling it at stage 1. Methods: The Support Vector Machine Classifier is further enhanced with Particle Swarm Optimization (PSO) and used for the prediction of diabetes. Collaborative Filtering is used for drug recommendation, which produces a suitable list of medications that correspond to the diagnoses of diabetes patients. Improved Density-Based Spatial Clustering of Applications with Noise (I-DBSCAN) is proposed to cluster EHR data to get labels based on the symptoms of patients and map reduction is utilized to process the clustered data in parallel for quick recommendations. Findings: The accuracy of the SVM with the PSO model is 99.20%. The performance of I-DBSCAN is also compared with K-Means and regular DBSCAN using the Silhouette Score, Davies Bouldin Score, and the Calinski Harabasz Score. Also, I-DBSCAN was found to give a more accurate score. Novelty: The extensive volume of diabetes-related information stored in electronic health records (EHRs) through continuous monitoring devices poses a growing difficulty for healthcare professionals to effectively navigate and deliver patient-centered care. Machine Learning techniques like classification and recommendations can be utilized to facilitate early disease diagnosis and recommend appropriate medications. Keywords: Electronic health records (EHRs), Collaborative Filtering (CF), Recommendations, Improved Density Based Spatial Clustering of Applications with Noise (IDBSCAN), SVM classifier
A Refined Approach Involving Feature Correlation Analysis Followed by Classification using Python for Gene Assortment
Authors: Machchhar S S , Solanki U L , Sanghavi H S
Published: July 2024

Objectives: To make a study on hybrid scheme of selecting a most representative subset of genes to improve microarray data classification accuracy using machine learning algorithm. Method: ML-based SGSA approach proposed here has two parts of execution on gene expression datasets. First it utilizes an entropy based IGKullback–Leibler divergence to select the most informative genes. Subsequently, an attribute evaluation performed using correlation-based feature selection. After that a random forest based classifier is employed with 10-fold cross-validation. The proposed method involves data pre processing, testing, training, fitting an algorithm and then finds the best accuracy with comparable CPU cost. Findings: The rationale behind this study is that only most informative genes are submitted to classifier for classification task. Proven accuracy by this approach is 98.48 for Lymphoma, 89.69 for Breast, 86.67 for CNS, 97.22 for Leukemia, 98.4 for Lung cancer, 96.6 for MLL, 97.21 for Ovarian cancer and 98.5 for SRBCT over traditional machine learning algorithms like naïve bias, J48 and SMO. These results demonstrate the effectiveness of the suggested approach in accurately classifying tumors. The numerical illustration also showed that the new estimator is more efficient in terms of CPU cost. Novelty: The major problem with traditional machine learning algorithms is that all features are treated equally important during the classification process which makes them susceptible to the influence of outliers and difficult to find a meaningful class in the dataset. In this study, classification accuracy is improved by processing the most informative features in the classifiers. The primary contribution of the research is a hybrid ML model which uses IG based feature selection followed by correlation analysis. The result is then fed to RF based classifier which significantly enhance accuracy as well as CPU cost. Keywords: Machine Learning, Classification, Correlation, Feature Selection, Gene Expression
Homogeneous Quadratic Equation with Four Unknowns 𝑥2 + 𝑥𝑦 + 𝑦2 = 𝑧2 + 𝑧𝑤 + 𝑤2
Authors: Sathiyapriya R ,   Associate Professor, Department of Mathematics, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Trichy, 621112, Tamil Nadu, India, Gopalan M A
Published: July 2024

Objectives: Diophantine research focuses on various ways to tackle multi variable and multi-degree Diophantine problems. A Diophantine equation is a polynomial equation with only integer solutions. The objective of this manuscript is to find the solutions to Polynomial Diophantine equation . Methods: Diophantine equations may have finite, infinite, or no solutions in integers. There is no universal method for finding solutions to Diophantine equations. Different choice of solutions in integers is obtained through using linear transformations and employing the factorization method. Findings: Many distinct patterns of integer solutions are obtained. Novelty: The main thrust is to illustrate different ways of obtaining various choices of solutions in integers to second-degree equations with four variables . Different choice of solutions in integers is obtained through using linear transformations and employing the factorization method. Utilization of substitution strategy reduces the given equation to a ternary quadratic equation for which solutions can be found easily. Mathematics Subject Classification:11D09 Keywords: Homogeneous second degree with four variables, Solutions in integers, Factorization method, Linear transformation, Polynomial diophantine equation
Beyond Trial and Error: A Comprehensive Classification of Metaheuristics along with Metaphor Criterion Development Trend
Authors: Agor Augustina Dede ,   Department of IT Studies, University of Professional Studies (UPSA), Accra, Ghana, Asamoah Emmanuel Selase , Koi-Akrofi Godfred Yaw , Agangiba Millicent , Brown Selasie Aformaley , Elliot Maud Adjeley Ashong , Ami-Narh James Tetteh
Published: July 2024

Objectives: The research aims to develop a comprehensive classification system for metaheuristics, categorize metaphor metaheuristics, and present the development trend and percentage representation of metaphor metaheuristics within each metaphor group. Method: A descriptive-based systematic review was conducted to collect data on studies concerning the classification of metaheuristics and the proposal of new metaheuristics. Data was sourced from Google Scholar, Science Direct, Springer, ResearchGate, and IEEE Xplore. For the first research objective, 148 studies were screened, resulting in the selection of six studies. The second and third research objectives involved screening 1145 studies, of which 654 were ultimately selected. This review considers studies published up to August 2023. The extracted data includes the characteristics of each classification and the name, abbreviation, author, year, and metaphor group for each metaheuristic reviewed. Findings: The results reveal that existing classifications do not cover the full range of metaheuristic characteristics. The data indicates a rising trend in the introduction of new metaheuristics over the years, with the peak occurring in 2020, boasting 68 new approaches, closely followed by 2022 with 57 introductions. However, between 1965 and 1992, progress was limited to only one or two new approaches annually, signifying periods of stagnation in the field. The majority of metaheuristics proposed are in the physics-chemistry metaphor group (20%), followed closely by human metaheuristics (18%). Novelty: The novelty of this study lies in its exhaustive classification of metaheuristics developed from 1965 to August 2023 based on the metaphor criterion, along with the development progression and percentage-wise representation of various metaphor groups using up-to-date data. Keywords: Metaheuristics, Metaphor, Classification, Optimization, Trend
Machine Learning-Based Prediction Approach for COVID-19 Detection via Chest X-Ray Scans
Authors: Almuafi Najwa Anwar ,   M.Sc. Artificial Intelligence, Al-Baha University, Al-Baha, Saudi Arabia, Alzahrani Mohammad Eid
Published: July 2024

Objectives: In medical research, the application of AI technologies has become a desirable approach for disease diagnosis due to their ability to increase diagnosis speed and accuracy. One major application of these technologies is in diagnosing diseases using medical imagery data such as X-ray and CT scan images. The objective of this study is to implement a COVID-19 diagnosis approach based on ML and compare it with laboratory testing approaches. Methods: The study utilizes the VGG16 architecture to extract features from X-ray and CT scan images, which are then used to build an ANN classifier to predict images as either COVID-positive or normal. Real-world datasets of varying difficulty were employed to evaluate the system's performance under different stressors, while comparative analysis with other classifiers was conducted to assess the model's improvement in accuracy and time complexity. Findings: The proposed architecture correctly classified 98.41% of the testing images. Among the images from infected patients in the testing set, 97.54% were accurately identified, while 98.72% of the normal cases were correctly classified. The model demonstrated good precision, with 96.49% of predicted COVID cases truly being from COVID-19 patients. Additionally, the F1 score for the model is 98.41%, indicating a good balance in predicting both categories. Showcasing its ability to handle multiple predictions quickly. The model's execution time for classifying a single case was computed as 0.0039 seconds, showcasing its ability to handle multiple predictions quickly. The proposed approach exhibits superior performance on datasets with balanced outcomes, surpassing the accuracy of SVM, DT, Logistic Regression, and Random Forest models. The approach outperforms laboratory-based testing approaches in terms of accuracy cost and assay times. Novelty: This study not only implements a robust ML-based approach for COVID-19 diagnosis but also provides a unique comparative analysis with traditional laboratory-based testing methods, such as Reverse Transcription Polymerase Chain Reaction (RT-PCR), reported in other literature. This dual focus on ML performance and its comparison with established testing methods highlights the practical advantages of ML in terms of diagnosis speed, accuracy, and cost-efficiency, offering a comprehensive perspective not commonly addressed in existing research. Keywords: COVID-19, Machine Learning techniques, F1 score, Classifier, Specificity, Accuracy, Sensitivity, Precision
Synthesis and Characterization of a New Ion Exchange Cellulose -1- Butane Sulphonic Acid (CBSA) Resin and its Application for Removal of Hazardous Metal Ion (Pb2+) from Industrial Waste Water by Batch Method
Authors: Rathore Monika ,   Department of Chemistry, Faculty of Science, New Campus, Jai Narain Vyas University, Jodhpur, 342001, Rajasthan, India, Singh Aresh Vikram
Published: July 2024

Objective: The purpose of this work is to develop and evaluate a new cellulose-1-butane sulphonic acid resin and use it for the elimination of hazardous metallic ions from textile industry effluent. Method: In the laboratory, a new cellulose-based resin containing 1- Butane sulphonic acid group has been synthesized. 1-Butane sulphonic acid group has been introduced into cellulose matrix through modified Porath’s method. Findings: Development of cellulose-1-butane sulphonic acid resin based on natural polysaccharides for the removal of lead ions, a dangerous metal, from industrial wastewater. Cellulose -1-Butane sulphonic acid resin's adsorbed metal ions were efficiently eluted using varying strengths of HCl solution. The resin could then be washed with pure, acidic distilled water to restore it to its H+ cationic exchanger state ten times. The hazardous metal ion Pb2+ can be specifically extracted from industrial waste water using the cellulose-1-Butane Sulphonic Acid (CBSA) resin. Novelty: Ion exchange capacity, pH titration, FTIR spectra, elemental analysis, and moisture levels were used to characterize the CBSA resin. At various pH levels, the distribution coefficient value (Kd) of lead metal ions has been methodically investigated using the batch method. Keywords: Effluent, Distribution Coefficient, Resin, Waste Water, Polysaccharide
Gender Equality in Vietnam Labour Law: A Critique Toward Sustainable Development
Authors: Dang Hoang Minh
Published: July 2024

Labor law is traditionally viewed as a crucial mechanism for advancing gender equality in the workplace by providing a framework to eliminate sex-based discrimination and enhance women’s participation in the workforce. As nations strive to achieve the UN’s Sustainable Development Goals (SDGs), the significance of such laws is amplified, with gender equality not only a key indicator but also an enabler for other SDGs. This study demonstrates that, despite recent reforms in Vietnam's labour law reducing barriers to female employment, pervasive gender inequality persists, fuelled by enduring employment stereotypes that often depict women as victims. To develop a sustainable workforce, Vietnam's labor laws and policies should implement strategies to dismantle these stereotypes. This research suggests transitioning from the traditional approach of female protection to involving men in domestic roles. A strategy targeting men is expected to promote gender equality in the Vietnamese workforce by altering employer perceptions of female employees' maternal roles. From the perspective of masculinity theory, the potential of paternity bonuses is significant; they can enhance women’s career opportunities by alleviating domestic burdens and broadening acceptable roles for men.
The Influence of Decisions Planning an Out-of-Class Academic Festival on Statistics Teaching Practices
Authors: Rodríguez-González Beatriz Adriana , Lara-Torres Claudia Guadalupe , Guirette-Barbosa Omar Alejandro , Durán-Muñoz Héctor Antonio
Published: July 2024

Some researchers in mathematics education have studied the decisions professors make during classroom context activities. These decisions are explained by several factors: 1) how professors conceive the structure of mathematics; 2) what they know about the mathematical content; and, 3) what they consider the best didactic strategies to improve students' learning.
Based on these studies, this article explores how two professors’ decisions, made beyond classroom contexts, influence their teaching practice. Two professors, who were teaching the same probability course, participated in this study. We apply Wenger’s theory of Communities of Practice to analyze such influence in terms of the way these professors participated in, and reified, their out-of-classroom decisions. This study allowed us to perceive that decisions taken at faculty meetings are not always relevant to students’ understanding of concepts, however, it did not enlighten us as to the process that led the professors to make their decisions.
The Origin of the State: The Formation of the Metatheory
Authors: Makarov G. G.
Published: July 2024

The paper analyzes the main classical theories of the origin of the State: theological, patriarchal, organic, psychological, social contract, internal and external violence, class theories. The author makes an attempt to identify doctrinally reliable and mythological elements in each theory and describes the alleged causes of the occurrence of this mythological element. Based on the results obtained, the author elucidates the classification of theories of the origin of the State that, in turn, became the basis for the systematic integration of verified scientific facts about the process of state formation in order to form the primary theoretical basis of a special metatheory of politogenesis. Thus, the concept of metatheory acts as an alternative to the unsystematic integration of the state and law doctrines of the origin of the state, allowing the researcher to embark on the path of their methodologicaland structural consolidation. The main properties of the metatheory of politogenesis as a method are described, namely: universality, consistency and dynamism. The paper also provides an interpretation of this meta-theory.
Objects of Currency Legal Relationships in the context of Countering Restrictive Measures Imposed by Unfriendly States
Authors: Sitnik A. A.
Published: July 2024

The paper analyzes the process of expanding the list of objects of currency legal relations, including related to the policy pursued by the Russian Federation to counter restrictive measures imposed by the United States and unfriendly states and international organizations that have joined them. The author analyzes the category of «currency values». The author concludes that the category of currency values appeared due to legal and technical reasons: the use of the term «currency values» makes it possible to make the text of the document more concise, eliminating unnecessary enumeration of objects of currency legal relations. The author highlights that the current concept of attributing objects of currency legal relations to currency values leads to a hidden depreciation of the national currency of the Russian Federation. It is emphasized that the recognition of digital financial assets and hybrid digital rights based on them as objects of currency legal relations blurs the line between these digital rights and digital currency. At the same time, within the framework of currency relations, digital financial assets should be considered as an analogue of securities rather than as a currency. The reason why digital financial assets are recognized as an object of currency legal relations, but digital currencies are not, is that the latter do not have a person bound by them. The prognosis is made that due to the existing request and subject to the adoption of the necessary regulatory framework, digital currencies may become the object of currency legal relations and be used to a limited extent for cross-border settlements.
Seismic Monitoring near Ithaca, New York, Reveals Nonuniform Distribution of Microseismicity in an Intraplate Region
Authors: Katz Zachary S. , Abers Geoffery A. , Yang Yucheng , Ferris Aaron , Jordan Teresa E. , Pritchard Matthew E. , Fulton Patrick M. , Gustafson Olaf
Published: July 2024

Cornell University intends to use a deep direct-use geothermal system to heat its Ithaca, New York, campus. In preparation for this project, the Cornell Seismic Network has been monitoring the background seismicity in this intraplate region since 2019. From January 2020 to June 2023, 95 events were detected within 20 km of the proposed geothermal well site, with local magnitudes ranging from −1.02 to 0.56. None of these events appear in regional or national catalogs. Events locate in a narrow geographic band, with one-fourth exhibiting multimodal hypocentral probability peaks both near the surface and at 1–4 km depth. We relocate events with a joint hypocenter and 1D velocity model inversion, in addition to a fully nonlinear method, and then compare observations with synthetic waveforms. Together, these approaches provide strong evidence for >95% of events locating at the surface or within the 3-km-thick sedimentary sequence. We explore how anthropogenic activity and regional topographic stress may contribute to frequent surficial events. This information is critical for characterizing the background microseismicity for comparison during future geothermal operations. Ithaca’s geology of Paleozoic sediments overlying Precambrian crystalline basement is typical of many continental interiors, so these results also provide insight into intraplate microseismicity patterns.
The Use Of Audio Visual Media In Learning To Listen To The Pulau Si Mardan Theater Performance In Tanjungbalai City At Sisingamangaraja Tanjungbalai High School
Authors: Sinaga Anastasia Hotmauli
Published: July 2024

The aim of the research is to describe the effectiveness of using audio-visual media in learning to listen to Mardan Island theater performances at Sisingamangaraja Tanjung Balai High School, as well as explaining the components that support the effectiveness of using audio-visual media in learning to listen to Mardan Island theater performances. This research method uses qualitative and descriptive qualitative research methods, where the data used is secondary data that has been processed for analysis and description into research results. The data used is very effective in understanding and explaining problems related to learning to listen to theater stories through audio-visual by carrying out data collection techniques through observations and interviews conducted with Sisingamangaraja Tanjung Balai High School students, where the results of observations and interviews were carried out by submitting open questions to students Sisingamangaraja High School regarding the use of audio-visual media by listening to Marjan Island theater stories. The results of the research found in the Si Mardan Island theater performance were that audio visual media was very effective in learning to listen to Si Marjan Island dramas, where the use of audio visuals was very effective because the use of audio visuals could help understand the meaning of the story and the message of the Si Marjan Island story in depth, and can solve problems by evaluating and analyzing the elements of the Pulau Si Marjan story through audio visual media by being able to solve problems related to the discussion of the Pulau Si Marjan story, as well as from solving existing problems, then students can identify problems and moral messages, and conclude What moral message does the story convey to students? The results of this research can be seen from the results of interviews with several Sisingamangaraja High School students, as well as quantitative test results from several students at Sisingamangaraja High School. The material test carried out at the end of the lesson showed that the students' literacy scores were very satisfactory, because the students were able to translate, analyze and evaluate the story, as well as the moral message contained in the Pulau Si Marjan theater story. Based on the research results, it can be concluded that the use of audio-visual media in learning to listen to the Si Mardan Island theater at Sisingamangaraja Tanjung Balai High School is very effective, both in attracting students' attention and helping students understand the learning material of listening to the story of the Si Mardan Island theater through the use of audio-visual media effectively. explain and describe the theme, story content and moral message with.
Ekstremisme Misogini Jakarta dalam Puisi Perjalanan Bu Aminah Karya W.S Rendra
Authors: Intan Aldani Putri Drima
Published: July 2024

Tujuan dari penelitan dalam bentuk penulisan artikel ini adalah untuk menelusuri fenomena misogini yang terdapat dalam puisi W.S. Rendra, serta melihat fakta realita tindak moral tersebut yang sering terjadi di Jakarta. Jakarta sebagai kota besar tentunya terdapat berbagai permasalahan dari berbagai lapisan masyarakat, tak terkecuali permasalahan terkait isu gender. Sastra sebagai kamera, dapat menangkap fenomena tersebut dan bisa menjadi alat edukasi terhadap masyarakat agar meminimalisirkan keruntuhan moralitas dalam suatu masyarakat. Dalam penelitian ini psikologi sastra dianggap mampu dalam menjawab persoalan tindakan misogini, sebab hal tersebut berkaitan dengan manusia dan jiwanya. Metode yang digunakan dalam penulisan ini adalah metode deskriptif kualitatif. Dalam penelitian ini juga, penulis secara objektif dalam mengumpulkan data dengan rangkaian proses penelitian. Puisi Perjalanan Bu Aminah karya W.S. Rendra menjadi sumber data dalam penulisan artikel ini. Dari hasil penelitian tersebut didapati bahwa puisi ini keberadaannya dangat relevan sekali dengan fenomena misogini di Jakarta. Sosok wanita yang menjadi korban diakibatkan dari budaya patriarki yang kuat, serta menyebabkan lemahnya keberanian wanita dalam menyuarakan tindak amoral tersebut.
Kata kunci: misogini; masyarakat; psikologi sastra; patriarki
 Jakarta Misogyny Extremism in the Poem Perjalanan Bu Aminah by W.S. Rendra
The purpose of the research in the form of writing this article is to explore the misogyny phenomenon contained in Rendra's poetry,and see the facts of the reality of these moral acts that often occur in Jakarta. Jakarta as a big city, of course, there are various problems from various levels of society, including issues related to gender issues. Literature as a camera can capture this phenomenon and can be an educational tool for the community in order to minimize the collapse of morality in a society. In this study, literary psychology is considered capable of answering the problem of misogyny, because it is related to humans and their souls. The method used in this paper is a qualitative descriptive method. In this study, the authors objectively collect data with a series of research processes. The Poetry of Perjalanan Bu Aminah by W.S. Rendra became the source of data in writing this article. From the results of this study, it was found that this poem is very relevant to the misogyny phenomenon in Jakarta. The figure of women who become victims is caused by a strong patriarchal culture, and causes women's lack of courage in voicing these immoral acts.
Keywords: misogyny; public; literature psychology; patriarchy
Pengembangan Buku Saku Berbasis Barcode: Seni Lukis untuk Siswa Kelas XI
Authors: Lutfiani Maslicha , Iriaji Iriaji , Anggriani Swastika Dhesti
Published: July 2024

Seni lukis menjadi salah satu materi dalam mata pelajaran seni budaya. Pembelajaran seni budaya umumnya merupakan pembelajaran teori dan praktik. Dalam menunjang kesuksesan pembelajaran diperlukan suatu sarana pembelajaaran yang efektif serta efisien. Terlebih lagi di saat pandemi COVID-19 saat ini yang mengharuskan peserta didik untuk menjalani pembelajaran daring secara mandiri. Salah satu media yang bisa digunakan yaitu buku saku berbasis barcode. Tujuan dari penelitian pengembangan ini adalah menghasilkan sebuah media pembelajaran buku saku seni lukis berbasis barcode. Penelitian menggunakan model pengembangan ADDIE yang terdiri dari lima tahapan yaitu;(1) tahap analisis; (2) tahap desain; (3) tahap pengembangan; (4) tahap implementasi; dan (5) tahap evaluasi. Data kuantitatif dijadikan sebagai data penelitian dengan instrumen berupa lembar angket. Produk media pembelajaran yang dikembangkan berbentuk buku saku berbasis barcode. Media buku saku berukuran A7 sebanyak 12 halaman, dengan materi seni lukis. Buku saku ini dilengkapi latihan soal dan video tutorial berkarya seni lukis teknik aquarel. Media pembelajaran buku saku barcode telah diuji oleh 2 ahli media, 2 ahli materi serta telah diujicobakan terhadap 20 peserta didik kelas XI SMPN 11 Malang. Hasil validasi media sebesar 85 persen, validasi materi sebesar 73 persen serta uji coba peserta didik 88 persen media dikategorikan sangat layak.
Kata kunci: seni lukis; pengembangan buku saku; barcode
The Development of Barcode-Based Pocket Book: Art Painting for Grade XI Students
Painting is one of the materials for arts and culture. Learning arts and culture is generally theoretically and practically. In order to support successful learning, effective and efficient media is needed, especially during the current COVID-19 pandemic, which requires students to complete an online learning independently. One of the media, which can be used is a barcode-based pocket book. The purpose of this developmental research is to produce a barcode-based learning media for painting pocket books. The research model used is the 5 step ADIE development model; (1) analysis; (2) design; (3) development; (4) implementation; and (5) evaluation. Qualitative data are used as research data with an instrument in the form of a questionnaire sheet. The developed media are in the form of a pocket book based on a barcode composed of pocket book size A7 up to 12 pages paint materials. Pocket book equipped with practical questions, video tutorials, and watercolor painting techniques. This pocket book media has been validated by 2 media experts, 2 material experts and has been tested on 20 class XI students of SMPN 11 Malang. Media validation results is 85 percent, material validation 73 percent and 88 percent of student tests are categorized as highly doable.
Keywords: art painting; development pocket book; barcode
Upacara Adat Ceprotan sebagai Inspirasi Penciptaan Karya Seni Lukis
Authors: Wijaya Satria Aji , Hariyanto Hariyanto , Prasetyo Abdul Rahman
Published: July 2024

Upacara adat Ceprotan merupakan salah satu budaya lokal di Indonesia khususnya dari daerah Pacitan tepatnya di Desa Sekar, Donorojo yang masih eksis hingga saat ini. Ironinya budaya lokal kini mulai tergerus karena adanya era globalisasi yang mengubah gaya hidup modern serta minimnya generasi penerus bangsa yang enggan melestarikan budaya lokal. Dengan saling mengenalkan budaya lokal ke masyarakat luas serta generasi penerus, maka budaya bisa tetap lestari dan hidup. Berdasarkan hal tersebut pencipta terdorong untuk mengekspresikan serangkaian acara Upacara Adat Ceprotan melalui bentuk karya seni lukis. Tujuan penciptaan ini untuk mengenalkan Upacara Adat Ceprotan kepada masyarakat melalui bentuk sebuah karya seni lukis dekoratif dengan mengangkat tentang Upacara Adat Ceprotan yang selalu dilaksanakan setahun sekali pada bulan Longkang (DzulQa'idah) hari Senin Kliwon. Metode penciptaan penelitian ini menggunakan metode dari Alma Hawkins yang terdiri atas tiga tahapan yaitu eksplorasi, improvisasi, dan pembentukan. Karya lukis yang dihasilkan berjumlah 6 karya yang memvisualkan bagaimana proses awal hingga akhir dalam pelaksanaan Upacara Adat Ceprotan. Karya seni ditampilkan sebagai upaya pelestarian serta pengenalan budaya kepada masyarakat luas khususnya kepada generasi penerus bangsa.
Kata kunci: upacara adat Ceprotan; seni lukis; kebudayaan
Ceprotan Traditional Ceremony as a Source of Painting Inspiration
The Ceprotan traditional ceremony is one of the local cultures in Indonesia, especially from the Pacitan area, precisely in Sekar Village, Donorojo which still exists today. The irony is that local culture is now starting to be eroded due to the era of globalization that has changed modern lifestyles and the lack of future generations who are reluctant to preserve local culture. By introducing each other to local culture to the wider community and the next generation, the culture can remain sustainable and alive. Based on this, the creator was compelled to express a series of Ceprotan Traditional Ceremony events through the form of painting. The purpose of this creation is to introduce the Ceprotan Traditional Ceremony to the public through the form of a decorative painting by raising the Ceprotan Traditional Ceremony which is always held once a year in the month of Longkang (DzulQa'idah) on Monday Kliwon. The method of creating this research uses the method of Alma Hawkins which consists of three stages, namely exploration, improvisation, and formation. The resulting paintings are 6 works which visualize the process from beginning to end in the implementation of the Ceprotan Traditional Ceremony. Artworks are displayed as an effort to preserve and introduce culture to the wider community, especially to the nation's next generation.
Keywords: ceprotan traditional Ceremony; art painting; culture
Penggunaan Media Kartu Kata untuk Meningkatkan Kemahiran Membaca Siswa Kelas XI
Authors: Setiawan Muhammad Arif , Maziyah Laily
Published: July 2024

This research aimed to explore the effectiveness of using word card media in enhancing the reading proficiency of grade XI students, specifically focusing on Arabic language reading skills. The study employed a classroom action research (CAR) design with a qualitative descriptive approach, conducted over two cycles, each comprising two sessions: planning, action, observation, and reflection. The participants were 14 students from class XI at SMAS Darul Quran Singosari Malang. Data collection methods included oral and written reading tests, interviews, observation, and documentation. Data analysis followed a descriptive approach involving data collection, reduction, presentation, and drawing conclusions. The results revealed a positive impact of word card media on students' Arabic reading proficiency across both cycles. In the pre-cycle assessment, students scored an average of 43.9. Following the implementation of word card media in cycle I, the average score increased to 68.9, with a classical completeness percentage of 64. In cycle II, students' reading proficiency further improved, with an average score of 82.8 and a completion rate of 92.8 percent. These findings suggest that the utilization of word card media effectively enhances Arabic reading skills among grade XI students. The study underscores the importance of innovative teaching strategies, such as word card media, in facilitating language learning and improving students' academic performance. These insights contribute to the ongoing discourse on pedagogical approaches to enhance reading proficiency in language education.
Integrasi Pembelajaran Berdiferensiasi dengan Kesenian Bantengan dalam Mata Pelajaran Seni Budaya
Authors: Oktiara Rania Erin , Pratamawati E.W Suprihatin Dyah
Published: July 2024

Setiap peserta didik memiliki keragaman karakteristik yang dipengaruhi oleh beberapa faktor seperti gaya belajar, perkembangan kognitif, latar belakang, minat, status sosial, dan perkembangan motorik. Keragaman karakteristik peserta didik juga berdampak pada perbedaan tingkat motivasi selama proses belajar. Dalam hal ini guru perlu menggunakan strategi pembelajaran yang sesuai dengan karakteristik peserta didik supaya memperoleh hasil belajar yang optimal. Pembelajaran berdiferensiasi menjadi solusi yang dapat digunakan untuk mengatasi permasalahan tersebut. Peserta didik di SMPN 14 Malang memiliki antusias yang tinggi pada budaya lokal Kesenian Bantengan. Adanya minat yang tinggi tersebut menjadi landasan peneliti untuk mengintegrasikan pembelajaran diferensiasi dengan Kesenian Bantengan dalam mata pelajaran seni budaya. Peneliti menggunakan pendekatan kualitatif dengan sumber data primer yaitu peserta didik kelas 7.1. Peneliti membagi peserta didik menjadi tiga kelompok gaya belajar yaitu visual, auditori, dan kinestetik. Masing-masing kelompok mendapat tugas dengan perbedaan proses berkarya. Peserta didik dari ketiga kelompok tersebut saling menunjukkan peran aktif, kreatif, dan solutif selama proses berkarya. Karya dari proses tersebut memberikan hasil yang maksimal sebab kegiatan pembelajaran disesuaikan dengan minat dan gaya belajar peserta didik.