bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of method of artificial insemination in Russian studs
Authors: Науменкова В.А.
Published: July 2024

Наиболее широкое применение метода искусственного осеменения в России наблюдается в рысистых породах призового на- правления - около 10 %. В орловской породе за 40 лет метод искус- ственного осеменения использовался в среднем на 4,0 процента. Искусственное осеменение в тракененской и полукровных спортивных породах по конным заводам России на протяжении проанализированных лет (1980-2015) использовалось ограни- ченно, менее одного процента.

The method of artificial insemination in Russia is widely used in trotter breeds of prize direction – about 10%. In Orlov Trotter breed during 40 years the method of artificial insemination was used on 4 %. Artificial insemination in Trakehner breed and half-bred sport horses in Russian studs during the years 1880 – 2015 was used limitedly, less than 1%.
Peculiarities of putting the information concerning horse owners in the information - searching system koni-3
Authors: Подобаев В.А. , Салин Д.А. , Гостина Л.Н.
Published: July 2024

В статье рассказано об особенностях ведения централизо- ванного племенного учета с помощью информационно-поиско- вой системы КОНИ-3 и исследований по разработке и совер- шенствованию информационно-поисковой системы в плане учета этих особенностей и создания структуры базы данных для возможности ввода дополнительной информации.

In the article it is shown peculiarities of conducting centralized breeding records with the help of the information – searching system KONI – 3. It is also given studying on working out and the improvement of the information – searching system taking into account these peculiarities and forming the structure of data base for putting the additional information.
Levades of moscow stud № 1
Authors: Пустовой В.Ф.
Published: July 2024

Изучены особенности состояния культурных пастбищ-левад для племенных лошадей Московского конного завода № 1. Про- ведены обширные учеты продуктивности левад. Научно обосно- вано увеличение площади левад, их размещение, разбивка на загоны, огораживание, залужение новых площадей, ротация ис- пользования и обновления левад в соответствии с нормативами для племенных хозяйств.

It were studied particularities of the state of cultural pastures for horses of Moscow Stud  №  1.  It  were  done  extensive  calculation of levades productivity. It was scientifically based the increase of levades areas, their placement, fencing, subdivision of pasture areas, pasture rotation and renewing levades according to the standards for breeding farms.
Scientific – technical information In horse breeding
Authors: Пустовой В.Ф. , Труфанов В.Г. , Соломатина Н.В. , Забродина Н.В. , Рожнова Ю.А. , Павлова С.С.
Published: July 2024

В статье показано состояние и направление деятельности на- учной библиотеки и архива института. Современные направле- ния научно-технической информации в коневодстве: проблемы и перспективы. Развитие информационного обеспечения научных исследований. Ключевые слова: библиотека, информационные системы, фонды, коневодство, интернет, катологизация, пути развития

In the article it is given the state and direction of scientific activity of the library and archives of the institute. Modern directions of scientific-technical information in horse breeding: problems and perspectives. The development of the informational provision of scientific investigations.
Evaluation of meat quality of mugalzharskaya breed of horses
Authors: Селеуова Л.А. , Найманов Д.К. , Брель-Киселева И.М. , Зайцев А.М.
Published: July 2024

В статье приведены результаты исследований химического состава, биологической и пищевой ценности мяса чистопород- ных лошадей мугалжарской породы в возрасте 2,5 лет. Уста- новлено, что мясо лошадей кожамбердинского внутрипородного типа по содержанию влаги, сухого вещества, жира, белка и золы превосходило мясо куландинских жеребчиков на 1,8 %, 1,8 %, 1,2 %, 0,8 % и на 0,2 %. Калорийность мяса жеребчиков кожам- бердинской селекции составила 1691 ккал на 1 кг мяса, кулан- динских – 1526 ккал. Энергетическая ценность мяса в 1 кг со- ставляет 7,1 и 6,4 мДж соответственно. Белковый качественный показатель (БКП) мяса жеребчиков кожамбердинского внутри- породного типа составил 6,2, у куландинского молодняка - 5,74. Результаты дегустационной оценки образцов мяса и бульо- на лошадей кожамбердинского внутрипородного типа получили оценку 8,8 и 8,7 баллов, куландинского – по 8,0 баллов. Пред- ставленные образцы по внешнему виду, цвету, вкусу и запаху, консистенции, сочности и наваристости отвечают требованиям потребителя и промышленности, обладают высокой органо- лептической оценкой.

In the article the results of investigations of chemical structure, biological and food value of meat of pure Mugalzharskaya breed at the age 2,5 are given. It is established that meat of Kozhamberdinskiy inner breed type excelled meat of Kulandinskiy colts in moisture, dry substance, fat, proteinandashesin 1,8 %, 1,8 %, 1,2 %, 0,8 % and 0,2 %. Meat caloricity of colts of Kozhamberdinskiy selection was 1691 kcal per one kilo of meat, Kulandinskiy – 1526 kcal. Calorific value of meat in one kilo –s 7<1 and 6,6 mDj accordingly. Protein quality index of colt meat of Kozhamberdinskiy inner breed type was 6,2, in Kulandinskiy colts – 5,74. The results of tasting evaluation of meat  samples  and  broth  form Kozhamberdinskiy inner breed type of horses got 8,8 and 8,7 points, from Kulandinskiy type – 8,0 and 8,0.The given  samples meet the requirements of consumes and industry in condition, colour, taste, smell, consistence, juiciness and richness and possess high organoleptic value.
Embryo transplantation as the mean of solving the problem of getting foals out of old and problem mares
Authors: Солодова Е.В.
Published: July 2024

В статье проанализированы результаты трансплантации эм- брионов от возрастных и проблемных в гинекологическом плане кобыл, полученные в Локотском конном заводе в 2013-2016 го- дах, а также важные аспекты технологии извлечения эмбрионов от таких кобыл.

In the article it is given the results of embryo transplantation out of old and gynaecologically problem mares received in Lokotskoi stud  in 2013 – 2016, and also the important aspects of the technology of embryo extraction from these mares.
Synthesis of 3,3-Disubstituted Thietane Dioxides
Authors: Saejong Peerawat , Zhong Jianing , Rojas Juan J. , White Andrew J. P. , Choi Chulho , Bull James A
Published: July 2024

4-Membered heterocycles have been increasingly exploited in medicinal chemistry and as small polar motifs often show important influence on activity and physicochemical properties. Thietane dioxides similarly offer potential in both agricultural and pharmaceutical applications but are notably understudied. Here we report a divergent approach to 3,3-disubstituted thietane dioxide derivatives by forming carbocations on the 4-membered ring with catalytic Lewis or Brønsted acids. Benzylic tertiary alcohols of the thietane dioxides are coupled directly with arenes, thiols and alcohols.
From chemical similarity measures to an unconventional modeling framework: The application of c-RASAR along with dimensionality reduction techniques in a representative hepatotoxicity dataset
Authors: Banerjee Arkaprava , Roy Kunal
Published: July 2024

With the exponential progress in the field of cheminformatics, the conventional modeling approaches have so far been to employ supervised and unsupervised machine learning (ML) and deep learning models, utilizing the standard molecular descriptors, which represent the structural, physicochemical, and electronic properties of a particular compound. Deviating from the conventional approach, in this investigation, we have employed the classification Read-Across Structure-Activity Relationship (c-RASAR), which involves the amalgamation of the concepts of classification-based quantitative structure-activity relationship (QSAR) and Read-Across to incorporate Read-Across-derived similarity and error-based descriptors into a statistical and machine learning modeling framework. ML models developed from these RASAR descriptors use similarity-based information from the close source neighbors of a particular query compound. We have employed different classification modeling algorithms on the selected QSAR and RASAR descriptors to develop predictive models targeted towards the efficient prediction of hepatotoxicity of query compounds. The predictivity of each of these models was evaluated on a large number of test set compounds. Additionally, the best-performing model was used to screen a true external set of data. The concepts of explainable AI (XAI) coupled with Read-Across were used to interpret the contributions of the RASAR descriptors in the best c-RASAR model and to explain the chemical diversity in the dataset. The application of various unsupervised dimensionality reduction techniques like t-SNE and UMAP, and the supervised ARKA framework showed the usefulness of the RASAR descriptors over the selected QSAR descriptors in their ability to group similar compounds, enhancing the modelability of the dataset and efficiently identifying activity cliffs. Furthermore, the activity cliffs were also identified from Read-Across by observing the nature of compounds constituting the nearest neighbors for a particular query compound. On comparing our simple linear c-RASAR model with the previously reported models developed using the same dataset derived from the US FDA Orange Book (https://www.accessdata.fda.gov/scripts/cder/ob/index.cfm), it was observed that our model is simple, reproducible, transferable, and highly predictive. The performance of the LDA c-RASAR model on the true external set supersedes that of the previously reported work. Therefore, the present simple LDA c-RASAR model can efficiently be used to predict the hepatotoxicity of query chemicals.
pKa predictions for arsonic acid derivatives.
Authors: Nedyalkova Miroslava , Heredia Diana , Lattuada Marco , Barroso-Flores Joaquín
Published: July 2024

Food, water, air, and soil are regularly contaminated with natural and artificially occurring forms of arsenic, of which arsonic acid derivatives RAsO(OH)2 are the major pentavalent compounds present in aqueous media. At a given pH, the resulting ionization state for these derivatives affects their lipophilicity, solubility, protein binding, and their ability to cross plasma membranes, potentially increasing their toxicity. Knowing their pKa values not only characterizes them but also helps design a strategy for bioremediation. Numerous challenges are associated with predicting pKa, and existing models are limited to specific chemical spaces. To leverage a pKa model for arsonic acids, we contrast machine learning (ML) methods based in Support Vector Machine and three DFT-based models: correlation to the maximum surface electrostatic potential (VS,max) at the ωB97XD/cc-pVTZ level of theory; correlation to carboxylate atomic charges in conjunction with a density-based solvation model (SMD) at the level of M06L/6-311G(d,p); and the scaled solvent-accessible surface approach, which yielded high mean unsigned errors for predicted pKa, and therefore it is not an efficient method for calculating the pKas of arsenic acids, in contrast with reported data for carboxylic acids, aliphatic amines, and thiols. The highest agreement was obtained with the atomic charges calculation on the conjugated arsonate base. ML-based and Vs.,max models rank second and third, respectively, in terms of prediction performance.
Hypothesis of Concerted Reactivity of Singlet Non-Covalent Radical Dimers
Authors: Molev Gregory
Published: July 2024

This work explores the intriguing domain of Frustrated Radical Pairs (FRPs) and their potential to form non-covalent dimers, termed Entangled Radical Pairs (ERPs), which exhibit unique singlet ground states and potential concerted reactivity, differing from traditional stepwise reactions. A few recent publications showed that in certain cases when two radicals cannot form a covalent bond, they unexpectedly form a non-covalent dimer with a singlet ground state. This potentially opens a new elusive route of FRPs’ reactivity, in which both radicals react simultaneously as one molecule. Here, we review several published articles, in which such reactivity probably took place, but was overlooked. The idea presented in this proposal suggests a path towards many interesting reactions, such as low-temperature metal-free dehydrogenation of aliphatic hydrocarbons and others. Additionally, an alternative mechanism for the reactivity of Frustrated Lewis Pairs (FLPs) based on the ERP framework is proposed. Lastly, the implications of the ERP model on the general theory of chemical bond formation are contemplated, suggesting a revision of the traditional views on hybridization and electron entanglement. The manuscript calls for further experimental and theoretical investigations to substantiate the presented hypotheses, aiming to unlock new pathways in radical chemistry and beyond.
Molecular alloying drives valence change in a van der Waals antiferromagnet
Authors: Aribot Frédéric , Voigt Laura , Dunstan Maja A. , Wan Wenjie , McPherson James N. , Kubus Mariusz , Yutronkie Nathan J. , McMonagle Charles J. , Coletta Marco , Manvell Anna S. , Viborg Anton , Wong Siena , Stampe Kirstine A. , Baran Volodymyr , Senyshyn Anatoliy , Le Manh Duc , Walker Helen C. , Chanda Amit , Trier Felix , Pryds Nini , Wilhelm Fabrice , Probert Michael R. , Christensen Niels B. , Brechin Euan K. , Rogalev Andrei , Pedersen Kasper S.
Published: July 2024

Bespoke van der Waals (vdW) crystals provide control over the generation, confinement, and transport of charge, spin, light, and heat within and between atomically precise two-dimensional (2D) layers. We report a novel functionality in vdW crystals by actuating valence changes in a metal-organic antiferromagnet through molecular alloying. The quadratic net materials Cr(pyz)2Br2 and Cr(pyz)2I2 (pyz = pyrazine) are aliovalent, with different Cr(III) and Cr(II) oxidation states due to disparate crystal field potentials induced by I– and Br–. Applying isotropic pressure compresses the layers in Cr(pyz)2I2 significantly (16% at 1.5 GPa), but no Cr valence change is induced by mechanical strengthening of the axial crystal field. However, the alloyed, solid solutions Cr(pyz)2I2–xBrx exhibit quantitative, hysteretic, and tunable Cr(II) ⇄ Cr(III) interconversions with concomitant charge injection into the organic scaffold. This valence change, driven by the larger chemical pressure exerted by Br– over I–, manifests drastic changes to the magnetization and electrical conductivity, which varies by up to five orders of magnitude across the transition. The use of reticular coordination chemistry addresses a current gap in vdW and 2D materials science, where electronic structure engineering via valence change events has remained elusive. The concept of molecular alloying in vdW crystals expands the functionalities for future magnetoelectronics with drastically different electronic and magnetic states interchangeable by mild external stimuli.
RUNOFF HYDROGRAPHS USING SNYDER AND SCS SYNTHETIC UNIT HYDROGRAPH METHODS: A CASE STUDY OF UNGAUGED WATERSHEDS OF IMAM TURKI BIN ABDULLAH ROYAL NATURE RESERVE (ITBA) - SAUDI ARABIA
Authors: Abdullah Al-Dughairi Ahmed Bin
Published: July 2024

The estimation of surface runoff and discharge peak using the Snyder’s model and SCS Dimensionless UH (SCS-DUH) method are one of the best alternatives solutions appropriate for analyzing the hydrologic systems in the ungauged watersheds. These two methods were applied to estimate the discharge peak and design their hydrographs in the drainage basins of Royal Nature Reserve (Imam Turki Bin Abdullah) in Saudi Arabia. To estimate the discharge peak by applying Snyder’s model and SCS-DUH method using the morphometric parameters deriving from the SRTM DEM30m and three rainstorms of 40, 50 and 60mm. The estimation of discharge peak (Qp) using Snyder’s model was depended on the SRTM DEM30m outputs and the hydrology parameters of the duration (Td) of Unit Hydrograph (UH), time to peak (Tp), time base of the UH (Tb), UH width at 50% and 75% of the peak discharge. However, the estimation of the discharge peak by The SCS-DUH method was computed using the drainage area (A), the direct runoff (Qd) and the time to peak (Tp). The direct runoff was determined by the runoff ratio 0.20 of the unimproved areas, proposed by the Soil Conservation Service (SCS). But, the time to peak was computed using the average of the concentration time obtained from Johnstone-Cross and Dooge models. The hydrographs design was done by the time ratio method recommended by the SCS. The estimated discharge peak computed by Snyder’s model varies with a maximum of 93.4 to 2092.9 m3/s, an average of 61.1 to 1368.4 m3/s and a minimum of 28.7 to 644.0 m3/s in Al Shuwaiki and Khtal watersheds, respectively. The estimated discharge peak computed by SCS-DUH method was ranged from 21.5 to 482.3 m3/s for the rainstorm of 40mm in Al Suwayki and Khtal, respectively, from 28.5 to 602.9 m3/s for the rainstorm of 50mm and from 34.1 to 723.5 m3/s for the rainstorm of 60mm, in Um Nqy and Khtal, respectively. The hydrology study of ungauged basins in Royal Nature Reserve (ITBA) shows the great potential of the integrated employment of GIS technics and the hydrology models to estimate the discharge peak and design their hydrographs.
GROUNDWATER FLOW DIRECTION EVALUATION FOR FLOOD AND CONTAMINATION CONTROL IN OSUBI, SOUTHERN NIGERIA
Authors: Yemi Sikiru Onifade , Wasiu Osisanya Olajuwon
Published: July 2024

The determination of groundwater flow direction is essential in flood and groundwater contamination control. This study aimed at determining the groundwater flow direction in the study area to infer possible areas of further spread of contaminants and identify areas that might be prone to flooding shortly. Fifty (50) hand-dug wells were sampled with the aid of a long tape (200/60m) and a global positioning system (GPS) to determine their hydraulic heads, while topography and groundwater flow direction maps of the study area were generated using surfer 13 and groundwater modeling software, respectively. The result revealed that the hydraulic heads and static water level (SWL) values range from 0.63-27.15 m and 1.15–4.88 m, respectively, while the elevation values range from 5–30 m. The study area is characterized by undulating and relatively flat terrain in different parts of the area, while the groundwater flow direction depicts a non-uniform directional flow of groundwater in the study area. This suggests that the groundwater contamination discovered in the area might soon spread to contaminate their nearby environs if not promptly and urgently controlled. It is hereby recommended that every anthropogenic activity, such as abattoirs, mechanic workshops, dumpsites, etc., that can increase the rate of groundwater contamination in the study area be restricted to the north-eastern, eastern, and southeastern parts due to their low hydraulic heads.
Praktik Perdagangan Karbon Dalam Perspektif Ekonomo Institusi Studi Kasus: Proyek Katingan Mentaya
Authors: Boediarto Yohanes Mikha
Published: July 2024

Cita-cita penurunan emisi GRK dapat dilakukan dengan berbagai cara salah satunya lewat skema perdagangan karbon. Indonesia sudah ikut berpartisipasi dalam perdagangan karbon khususnya di sektor kehutanan lewat proyek konservasi seperti yang dilakukan PT RMU melalui proyek Katingan Mentaya. Namun dalam praktiknya, perdagangan karbon yang dilaksanakan belum optimal. Oleh karena itu, penelitian ini bertujuan untuk menganalisis kondisi perdagangan karbon di Indonesia, khususnya yang dilakukan melalui proyek Katingan Mentaya dan bagaimana peran unsur kelembagaan didalamnya. Dari analisis yang dilakukan, dapat disimpulkan beberapa hal, yaitu (1) skema perdagangan karbon yang dilakukan Indonesia saat ini masih bersifat sukarela (2) peran PT RMU dan Pemerintah sebagai institusi yang terlibat langsung dalam proyek Katingan Mentaya perlu dikaji ulang untuk meminimalisir masalah yang ada.
Health Literacy Level and Quality of Life among Post-Partum Mothers
Authors: Ulfah Maria , Fauziah Anny
Published: July 2024

Pregnancy and childbirth are natural physiological processes that involve tremendous changes in the mother's physiology, anatomy, and psychology. Apart from that, pregnancy and birth can disrupt physical and mental health, so it has a significant impact on the quality of life of postpartum mothers. Poor quality of life in postpartum mothers becomes, which affects the health of the mother and baby. This study aims to analyze the relationship between health literacy and the quality of life of postpartum mothers in the Bandung Health Center, Tegal City. The research method uses quantitative with a cross-sectional approach. The population of this study was all postpartum mothers who gave birth in June – July 2023 in the Bandung Community Health Center area, Tegal City. The total sample was 59 postpartum mothers. Data collection using the HLS-EU-Q16 and Postpartum Quality of Life (PQOL) questionnaires. In the adequate health literacy category, 43 respondents (72.9%), followed by the problematic health literacy category 15 respondents (25.4%) and low literacy level 1 respondent (1.7%). In addition, of the respondents who have a good quality of life, 57 respondents (96.6%) had a good quality of life, and 2 respondents (3.4%) had a low quality of life. Based on the chi-square test, there is a relationship between health literacy and the quality of life of postpartum mothers, which shows a significant relationship with a significance level of p=0.05). This research concludes that good health literacy gives postpartum mothers a good quality of life so they can care for their newborn babies.
An ensemble technique to predict mental illness using data mining techniques
Authors: Divya Bharathi , Thirumalai Selvi
Published: July 2024

The mental well-being of a person is their mental state. Chemical abnormalities in the brain cause mental health problems. It is important to monitor the mental health of different groups in order to predict health-related disorders. The community consists of working professionals and college students. It is widely believed that stress and grief affect people of all ages and backgrounds. Some serious mental health disorders, such as anxiety, bipolar disorder, and schizophrenia, often evolve and produce symptoms that can be recognized early. Such mental disorders could be avoided more successfully if abnormal mental states are detected in the early stages of the disease, allowing for additional care and treatment. This study analyzed the accuracy of four data mining techniques and introduced a new ensemble technique to improve their accuracy in identifying mental health issues. The data mining techniques are Logistic Regression, KNN Classifier, Decision Tree Classifier, and Random Forest. This paper provides scope for other researchers and practitioners seeking to achieve higher accuracy in identifying mental health issues using enhanced data mining algorithms to meet several accuracy criteria.
Predictive modeling for cardiovascular disease risk assessment
Authors: T. Benila Christabel , Thanammal K. K.
Published: July 2024

Cardiovascular diseases (CVDs) continue to be the world's leading cause of death. It is imperative that accurate risk assessment and early intervention be implemented. This study proposes a predictive modeling framework, termed "HeartGuard," designed to assess an individual's risk of developing cardiovascular disease. Leveraging a diverse dataset comprising demographic information, lifestyle factors, medical history, and biomarker data, advanced machine learning techniques are employed to construct robust predictive models. The developed models incorporate features such as age, gender, blood pressure, cholesterol levels, smoking status, physical activity, and family history to estimate the probability of CVD occurrence within a specified timeframe. The evaluation of the models using cross-validation and independent validation datasets demonstrates their high accuracy, sensitivity, and specificity. HeartGuard offers a reliable tool for clinicians to identify individuals at heightened risk of cardiovascular disease, enabling targeted preventive measures and personalized healthcare interventions to mitigate the burden of CVD morbidity and mortality.
Tilime crop yield prediction using machine learning algorithms
Authors: Steve Oscar Kamangira , Chipatso Medi
Published: July 2024

Agriculture stands as the bedrock of Malawi's economy, involving nearly 90% of the population in subsistence farming. However, the sector faces challenges arising from unpredictable weather patterns, climate shifts, and environmental factors that threaten its sustainability. This paper proposes a pioneering solution leveraging Machine Learning (ML) to address these challenges, presenting a robust decision support system for Crop Yield Prediction (CYP). By harnessing ML capabilities, the system aids in crucial decisions related to crop selection and management throughout the growing season, specifically tailored for the unique agricultural landscape of Malawi. This approach aims to empower farmers by providing valuable insights into soil quality, composition, and nutrients, enabling informed decisions to maximize crop yield. Through the integration of advanced technology into the agricultural domain, this paper seeks to usher in a transformative era for Malawian agriculture, fostering resilience and sustainability in the face of evolving environmental dynamics.
Artificial intelligence application in education: A systematic study
Authors: Rishwinder Singh Baidwan , Radhika  , Rakesh Kumar
Published: July 2024

Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional procedures. Artificial intelligence can analyze human data using feature engineering or feature learning, handling data irrespective of a specific model. Education is a crucial component of the evolution of civilization, encompassing methodology, substance, concepts, and models. Engineers can design, build, and enhance artificial intelligence systems that mimic human intellect and possess intelligence akin to the human brain using basic AI algorithms. This paper aims to provide an overview of AI applications in higher education institutions. The use of AI in education has significantly transformed educational standards. To prepare individuals for a future driven by AI, the study examines various AI applications, emphasizing the critical role that public institutions play in supporting AI skills development, forming alliances, and sponsoring academic achievements.
Analysis of Social Discourse of Early Childhood Education and Child Care Integration using Big Data: Focusing on Keyword Network Analysis
Authors: Han Jiwon , Kwak Eunbok ,   Korean Society for Young Children Becoming Curriculum
Published: July 2024

The purpose of this study is to find out the social discourse of ECEC integration using big data. Big data related to ECEC integration from 2013 to 2023 were collected using Textorm. The collected raw data were refined, and among them 50 keywords were selected as a result of frequency analysis. The results of the study are as follows. First, the social discourse of ECEC integration showed high frequency in the order of ‘teacher’, ‘child care center’, ’kindergarten’, ‘child care’, and ‘qualification’. As a result of cluster analysis, social discourse was formed centering on three core discourses such as teacher qualification acquisition, policy direction, and consultation subject. Second, major keywords such as ‘child care center’, and ‘kindergarten’ have a higher degree of centrality, while word such as ‘policy’, and ‘Korea National Open University’ have a higher closeness centrality. Third, the ego network analysis was conducted on the main keywords with higher centrality and frequency, such as ‘teacher’ and ‘qualification’. In addition, the ego network analysis was performed and visualized the main keywords and visualized. Through this study, the social discourse was investigated and implications for approach of ECEC integration were discussed.
A study on the Development and validation of an ESG operation evaluation Tool for Early Childhood Education Institutions
Authors: Lee Hyewon , Kim Youjung , Choi Hyunjoo ,   Korean Society for Young Children Becoming Curriculum
Published: July 2024

The purpose of this study is to develop an ESG operation evaluation tool for early childhood education institutions and to verify the validity of the developed test tool.
To this end, the concept and components of ESG operation of early childhood education institutions were derived through analysis of related literature. Based on the content validity of the components of ESG operation, 53 ESG concept recognition questions and 36 ESG attitude questions were selected. A preliminary survey was conducted on 28 employees at early childhood education institutions on the selected questions.
After verifying the content validity of the preliminary survey data, the main survey was conducted on 242 people. Basic analysis, exploratory factor analysis, and confirmatory factor analysis were conducted on main survey data to derive the final test tool.
As a result of the study, 17 ESG concept recognition components and 11 ESG attitude components were derived, and a total of 28 questions were developed as an ESG operation evaluation tool for early childhood education institution.
The ESG operation evaluation tool for early childhood education institutions derived through this study is significant in that it can provide basic data for proper ESG operation of early childhood education institutions in the future.
Pengelolaan Perpustakaan Dalam Meningkatkan Minat Baca Di SD Negeri 2 Pakisjajar
Authors: Amalia Rosida
Published: July 2024

Salah satu permasalahan yang ada di sekolah    SD Negeri 2 Pakisjajar, Kelurahan Pakisjajar, Kecamatan Pakis, adalah kurangnya minat baca siswa diperpustakaan. Salah satu program yang diterapkan di SD Negeri 2 Pakisjajar adalah penataan ulang di perpustakaan. Tujuan diadakannya program penataan ulang perpustakaan adalah :1) Untuk menciptakan rasa nyaman siswa 2) meningkatkan kualitas pelayanan 3) untuk menarik minat baca siswa 4) mempermudah mencari buku yang diperlukan. Hasil dari program penataan ulang ini adalah siswa berantusias dalam mengikuti kegiatan tersebut. Selain itu program penataan ulang  ini juga dapat membantu siswa yang kesulitan dalam mengerjakan soal-soal latihan yang diberikan saat kegiatan pembelajaran di sekolah.
Alat Pendeteksi Stok Barang Berbasis IoT untuk UMKM dengan Sensor Ultrasonik dan Inframerah
Authors: Batara Marco , Yosephine Vina Sari
Published: July 2024

Di era Industri 4.0 UMKM Indonesia menghadapi tantangan dalam mengadopsi transformasi digital baik dari sisi pembiayaan maupun sumber daya manusia. Manajemen gudang merupakan contoh yang sering terabaikan. Pengelolaan inventori yang efisien menjadi penting untuk meningkatkan efisiensi operasional dan rantai pasok UMKM. Penelitian ini bertujuan untuk membangun model digitalisasi pemantauan stok untuk pemantauan operasi gudang secara real-time yang dikhususkan kepada UMKM. Sistem tersebut menggabungkan sistem informasi, single board computer, sensor ultrasonik, dan sensor inframerah dalam satu platform IoT untuk memberikan informasi inventori secara real-time. Analisis reliabilitas statistik pada pengujian menunjukkan tingkat konsistensi yang sangat tinggi yaitu nilai Cronbach's Alpha dan Intraclass Correlation Coefficient di atas 0.9. Hasil ini menunjukkan bahwa model tersebut dapat secara akurat memantau dan mengelola inventori, sehingga UMKM dapat membuat keputusan yang lebih tepat dan cepat. Nilai investasi sistem sebesar Rp103.350 sehingga model digital terjangkau dan mudah diimplementasikan bagi UMKM dalam mengadopsi teknologi digital khususnya dalam manajemen gudang.
Perbaikan Tata Letak Gudang PT PYT dengan Memperhatikan Jarak, Waktu Handling, dan Utilitas Ruang Penyimpanan
Authors: Rahayu Evelyn Arnetta , Silitonga Roland Y. H.
Published: July 2024

Gudang barang jadi PT PYT yang menggunakan metode dedicated storage berdasarkan fast dan slow moving dengan penyimpanan single racking 6 tingkat ini memiliki gejala masalah peletakan barang yang masih kurang baik karena terdapat beberapa barang tersimpan di floor yang tidak seharusnya. Penelitian ini bertujuan untuk merencanakan peletakan barang yang lebih baik sehingga operasi yang terjadi di gudang barang jadi dapat semakin efisien dan efektif. Untuk menyelesaikan masalah ini diusulkan peletakan barang menggunakan metode class based storage berdasarkan klasifikasi ABC yang mempertimbangkan skala prioritas dan kategori level. Hasil penelitian yaitu tata letak Alternatif 1 yang menggunakan prinsip popularity, similarity, size, dan characteristic serta penyusunan berdasarkan skala prioritas dan across-aisle storage. Alternatif ini menghasilkan pengurangan total jarak perpindahan sebesar 29588 meter (2.35%) dan total waktu handling 148 menit (2.35%); pada kategori TRJ dan SLO ada pengurangan sebesar 37% - 38%, serta persentase utilitas ruang penyimpanan pada setiap kategori barang yang lebih merata (dari 41.44% - 121.08% menjadi 84.03% - 97.05%). Manfaat dari tata letak ini yaitu penyusunan barang lebih rapi dan terkelompok, meminimasi adanya kapasitas berlebih, serta tata letak dapat dilakukan evaluasi secara berkala agar kapasitas setiap kelas dapat mengikuti fluktuasi jumlah penjualan.
Studi Komparatif: Efek Musik Pop, Hip-hop, dan Tanpa Musik pada Kewaspadaan dan Perilaku Mengemudi
Authors: Andrie Salfredo , Sarvia Elty
Published: July 2024

Penelitian ini mengkaji dampak berbagai jenis musik terhadap kewaspadaan dan perilaku mengemudi dengan menggunakan tiga treatment: tanpa musik, musik hip-hop, dan musik pop. Pengukuran dilakukan melalui tes kewaspadaan objektif (PVT), skala kewaspadaan subjektif (VAS), dan pengukuran berbasis data fisiologis (tingkat stres, suhu tubuh, dan denyut jantung). Hasil menunjukkan bahwa musik hip-hop menghasilkan jumlah pelanggaran tertinggi, sementara musik pop menghasilkan jumlah pelanggaran terendah. Musik pop terbukti meningkatkan kewaspadaan, sedangkan musik hip-hop menurunkannya. Meskipun data tingkat stres, dan denyut jantung tidak menunjukkan perbedaan signifikan, wawancara dan observasi menunjukkan peningkatan kecemasan dan ketegangan saat mendengarkan musik hip-hop. Perbedaan antara kewaspadaan objektif dan subjektif juga ditemukan, menunjukkan bahwa pengemudi mungkin tidak menyadari tingkat kewaspadaan mereka yang sebenarnya. Temuan ini menekankan pentingnya mempertimbangkan aspek psikologis selain parameter fisiologis dalam mengevaluasi dampak musik pada mengemudi. Disarankan agar pengemudi memilih musik yang meningkatkan kewaspadaan tanpa meningkatkan stres, seperti musik pop, untuk meningkatkan keselamatan di jalan.
Development of programmable logic controller algorithms for database communication
Authors: Стефанов Стефан Любомиров
Published: July 2024

The present paper provides a brief overview of the possibilities which can arise when outsourc-ing some of the more advanced functionalities usually developed for computers to a programma-ble logic controller. This approach is still being examined to fulfil its aim of improved communi-cation capabilities and provision of effective tools for advanced intelligent control systems. The paper, further, sets out to give an example of one such algorithm which is built upon the MySQL protocol.
SATYAJIT RAY AS A DOCUMENTARIAN: A STUDY ON RABINDRANATH TAGORE AND SUKUMAR RAY
Authors: Dasgupta Debastuti , Chakrabarti Aritra
Published: July 2024

Satyajit Ray, renowned globally for his cinematic brilliance, also left an indelible mark as a documentary filmmaker. It is to be mentioned here that the literatures and writings on Ray’s documentary are very less in number. Ray's documentaries on Rabindranath Tagore encapsulate the multifaceted persona of the Nobel laureate, exploring his literary contributions, artistic vision, and philosophical ideologies. Through meticulous research and visual finesse, Ray elucidates Tagore's timeless relevance, weaving together archival footage and dramatic reenactments to present a holistic portrayal of the poet's life and legacy. In his exploration of Sukumar Ray, Satyajit Ray ventures into the whimsical world of children's literature and satire to commemorate the centenary birth anniversary.This paper tries to discuss on documentaries made by Ray with special emphasis on Rabindranath Tagore and Sukumar Ray. Besides reviewing relevant literatures, the researchers have tried to describe two documentaries vividly. In addition to this, they also have taken insightful interviews of three literary and film scholars to understand Ray as documentarian. The interviews were analysed and conclusion have been drawn on the basis of that. The paper shows, beyond mere biographical documentation, Satyajit Ray's documentaries serve as nuanced reflections on the socio-cultural milieu of their respective times, offering profound insights into the artistic legacies of Rabindranath Tagore and Sukumar Ray. The paper serves to highlight the intricate nature of Ray's documentary legacy and its ongoing significance in influencing conversations within Indian cinema.
Pengembangan Media Pembelajaran Matematika Berbasis Android Menggunakan Smart Apps Creator pada Materi Perbandingan untuk Siswa Kelas VII UPTD SMP Negeri 5 Kupang
Authors: Lagu Diesnilya , Samo Damianus Dao , Blegur Irna Karlina Sensiana
Published: July 2024

The development of the use of Android-based smartphones among the people of Indonesia is used in various fields, including the field of education. One software that can be used to implement Android-based learning is smart apps creator (SAC). Therefore, this study aims to develop android application-based mathematics learning media on class VII UPTD SMP N 5 Kupang comparison material that is valid, practical, and effective. The method used in this study is the Research and Development (R&D) method using the ADDIE model which consists of 5 stages, namely analysis, design, development, implementation, and evaluation. The data collection techniques used in this study were interviews, questionnaires, and learning outcomes tests. Data analysis techniques in this study are qualitative data analysis and quantitative data analysis. The results showed that the application met the eligibility criteria that were valid, practical, and effective in the comparison material. The average total validity of learning media by 3 media and material experts is 4.25 so that android application-based mathematics learning media is included in the valid category, subject teacher responses with an average response result of 4.67, responses from small-scale students are 4.7 and large-scale student responses are 4.45 so that android application-based mathematics learning media is included in the practical category,  and the percentage of small-scale learning completeness results obtained 80% included in the effective category and large-scale learning completeness results 88.88% so that mathematics learning media based on android applications that have been developed are included in the very effective category.
Indonesian’s Mathematics Teacher Comprehension Towards Geogebra
Authors: Intan Kertiyani  , Rahma Nasir  , Uncok Manigor Jokkas Siahaan
Published: July 2024

Numerous studies have mentioned that Geogebra provides positive impacts towards mathematics lessons and suggested to integrating this software into the classroom activity. In order to prepare the teacher for Geogebra integration, study for teacher comprehension of Geogebra is required as the basic for future study. This paper aimed to capture Indonesian mathematics teacher comprehension about Geogebra. This was descriptive study using survey method. The sample was 296 junior high school mathematics teachers. The teachers were asked to fulfilled the questionnaire to obtain their comprehension towards Geogebra. The results revealed that 50% teachers were at level 1 in understanding the features of Geogebra and more than half of them has never been utilized Geogebra in their mathematics lesson and never been construct an applet Geogebra as their instructional media. Those results suggest the urgency to provide the Geogebra training for mathematics teacher in order to enhace students comprehension towards Geogebra.
The development of PISA-like mathematics problem using Lombok Island contexts
Authors: Triutami Tabita Wahyu , Novitasari Dwi , Salsabila Nilza Humaira
Published: July 2024

The results of the PISA test for mathematical literacy in 2000–2018 and several previous studies show that students' critical thinking abilities in Indonesia are still relatively low. One of the reasons why students' critical thinking skills in Indonesia are low is because PISA-like problems have not been integrated evenly into mathematics learning. The aim of this research is to obtain a prototype of PISA-like mathematics problems in the context of Lombok Island that are oriented towards critical thinking skills that are valid, according to experts. This research is design research, which consists of 3 stages, namely analysis, design, and evaluation. The PISA-like problem that has been developed consists of twelve questions about space and shape, uncertainty, and data. Each set of questions consists of levels 1 to 6. Lombok Island contexts contained in the questions are Mount Rinjani, woven cloth with Subahnale and Alang motifs, the game of Dengkleng (Engklek), Gendang Beleq, and the Limbungan traditional house. At the evaluation stage, the validity of the development product is assessed by experts. The instrument used is a PISA-like problem validation sheet. The results of this research obtained a prototype of a PISA-like mathematics problem with a valid category, according to experts.
Kesalahan mahasiswa non-matematika dalam melakukan uji normalitas
Authors: Wulandari Nourma Pramestie , Junaidi Junaidi
Published: July 2024

Normality testing is an essential part of statistical analysis to determine whether observed data are normally distributed or not. This study aims to document and analyze various types of errors frequently made by non-mathematics students when conducting normality tests. Furthermore, this descriptive qualitative research involved 32 second-year non-mathematics students as participants, who were given tasks requiring them to perform normality tests on datasets. The research findings indicate that the most common type of error made by non-mathematics students in conducting normality tests is encoding error, accounting for 40.7% of errors. This occurs when students mistakenly compare decimal values between Lcalc and Ltable. Consequently, the conclusions drawn from these normality tests may be inaccurate. Additionally, other types of errors identified include reading error, comprehension error, transformation error, and process skills error.
Pengembangan Media “CAKU” (CAri aKU) dan Lembar Kerja Peserta Didik (LKPD) untuk Meningkatkan Pemahaman Himpunan di Kelas VII
Authors: Sari Noviana Puspita , Tyaningsih Ratna Yulis
Published: July 2024

This research aims to develop interactive learning media CAKU and Student Worksheets (LKPD) to improve students' understanding of set material in class VII. The research method used is Research and Development (R&D) with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model. The analysis stage involves identifying needs and problems in learning set material. The design stage focuses on designing media and LKPD that suit the characteristics of class VII students. In the development stage, the media was prepared and tested on a small scale through peer teaching in the Innovative Mathematics Learning Study class which was attended by 16 students to obtain input and improvements. Implementation is carried out through field trials to measure the effectiveness of the media and LKPD that have been developed. Evaluation is carried out to assess the increase in students' understanding before and after using the learning media. The research results show that learning media is effective in increasing students' understanding of the concept of set. Apart from that, it is considered interesting and motivating for students to learn, thus making the learning process more interactive and fun. Thus, it is hoped that the development of the learning media CAKU and LKPD can become an innovative alternative tool for educators in teaching set material, as well as improving the quality of learning in class VII.
Environmental Communication of the Kapuas River Clean Action by the Pontianak Young Generation
Authors: Herawati Netty , Sunyata Lina , Lukitowati Suci , Magdalena Wuysang Julia
Published: July 2024

This article aims to increase the perception, experience, and communication of the young generation of Pontianak City in maintaining the cleanliness of the Kapuas River. The most considerable pollution of the river comes from household waste. River hygiene socialization often involves the people of riverside areas, as if they are the ones responsible for river cleanliness. The river cleanup action so far is also considered just ceremonial. This P.K.M. (community service) focuses on two activities: the digital campaign and the collective movement #AksiBersihSungaiKapuas. The digital campaign is carried out ten days ahead of World Environment Day. It contains education and recordings of the actual actions of Pontianak’s Young Generation. 134 digital campaigns are using the hashtag #AksiNyataBersihSungaiKapuas. Meanwhile, the Collective Movement is held on World Environment Day every June 5. A total of 2 tons of garbage was collected in the Kapuas River clean-up action. Plastic waste, water hyacinth, and household waste are the most common. The young generation of Pontianak City is not only a spectator but a subject in education and disseminating the habit of maintaining the cleanliness of the Kapuas River environment.
Filtro Negativo
Authors: Viana Iasmin , Oliveira Laura , Andrade Rafaela , Faro André
Published: July 2024

Cartilha educativa sobre o papel da terapia cognitiva, distorções cognitivas, filtro negativo e como desafiar o filtro negativo, com situações ilustrativas.
Computational study of phytochemical derived bioactive compounds of Vernonia amygdalina as a potential inhibitor of Topoisomerase IV in pneumonia
Authors: Ayobami Fidelix  , Tomilola Akingbade  , Jatin Jangra  , Olutola Adeyemo  , Damilola Adeniji
Published: July 2024

Several of the bacteria responsible for pneumonia had become resistant to available antibiotics. According to the WHO, the resistance of Klebsiella pneumonia to Ciprofloxacin is 79.4%, making infections such as pneumonia and several diseases more difficult, if not impossible to treat. The prevalence of antimicrobial resistance is a global problem and among the 10 top global health threats facing humanity. With the projection of 10 million deaths per year by 2050 due to bacterial infections associated with antibiotic resistance according to WHO, there is an urgent need to identify an alternative approach to curb the incessant antimicrobial resistance and a complementary approach is to employ the use of naturally occurring compounds with potent antibacterial activities. We employed structural bioinformatics and theoretical chemistry techniques via molecular docking, and pharmacokinetic study, to identify novel S. pneumoniae topoisomerase IV inhibitors. The stringent molecular docking identified Arg140, Arg81, Glu55, Pro84, Met83, and Asn51, as principal amino acid residues for topoisomerase IV ligand interactions. Ten of the bioactive compounds found in Vernonia amygdalina showed a higher binding energy when compared to the reference compound (Ciprofloxacin). The overall analysis of MD results and binding free energy calculations reveal that Luteolin and 7-O-methylwogonin displayed stable trajectories with acceptable RMSD values and sufficient high negative energies throughout the MD simulation run of 100ns. These identified bioactive compounds in this study can be taken further for in vitro and In vivo studies to examine their efficacy against Pneumonia.