bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deskriptif Tingkat Motivasi Belajar terhadap Kemampuan Komunikasi Matematis Siswa dari Prespektif Aksiologi
Authors: Rohid Nabrisi , Masitoh Siti , Nursalim Mochamad 
Published: October 2024

Abstract: Motivasi mempunyai peranan besar pada keberhasilan individu dalam belajar. Pada pembelajaran matematika, seorang siswa yang sudah mempunyai kemampuan pemahaman matematis dituntut juga untuk bisa mengkomunikasikannya. Tujuan dalam penelitian ini untuk menganalisis motivasi belajar dan kemampuan komunikasi matematis siswa kelas XI IPS MA Alfalah. Teknik pengumpulan data pada penelitian ini menggunakan angket untuk mendapatkan data motivasi belajar dan tes tertulis untuk memperoleh hasil kemampuan komunikasi matematis. Indikator motivasi belajar diantaranya minat, perhatian, konsentrasi dan ketekunan. Indikator yang digunakan dalam mengukur tes komunikasi matematis dalam penelitian ini yaitu Written Text, Drawing dan Mathematical Expressions. Teknik pengolahan data menggunakan reduksi data, penyajian data yang kemudian dinaratifkan. Hasil dalam penelitian ini menunjukkan bahwa siswa yang mempunyai motivasi tinggi mampu menyelesaikan tes kemampuan komunikasi matematis. Sedangkan siswa yang mempunyai motivasi rendah tidak mampu menyelesaikan tes kemampuan komunikasi matematis. Keywords: Motivasi Belajar, Komunikasi Matematis, Aksiologi Abstrak: Motivation has a big role in individual success in learning. In learning mathematics, a student who already has the ability to understand mathematics is also required to be able to communicate it. The aim of this study was to analyze the learning motivation and mathematical communication skills of the XI IPS MA Alfalah students. Data collection techniques in this study used a questionnaire to obtain data on learning motivation and a written test to obtain the results of mathematical communication skills. Indicators of learning motivation include interest, attention, concentration and persistence. The indicators used in measuring the mathematical communication test in this study are Written Text, Drawing and Mathematical Expressions. Data processing techniques use data reduction, presenting data which is then narrated. The results in this study indicate that students who have high motivation are able to complete the test of mathematical communication skills. While students who have low motivation are unable to complete the test of mathematical communication skills. Kata Kunci: Learning motivation, mathematical communication, axiology
Opportunities and Challeges of Using Artificial Intelligence in Assessment
Authors: Supianto Supianto 
Published: October 2024

Abstract: The application of Artificial Intelligence (AI) in learning assessment has attracted the attention of many educational experts, researchers and practitioners. This study discusses the opportunities and challenges of using AI in learning assessment. Traditional assessment has weaknesses in terms of misjudgment, inability to measure individual abilities that are not measured in certain forms of assessment, significant cost and time, slow feedback, and inability to be adjusted individually. Several studies have shown that the use of AI in assessments can improve the accuracy, validity and reliability of assessments, reduce human rater bias, enable adaptive assessments, increase time and cost efficiency, provide faster and more timely feedback, and assist in identifying individual needs and improve the quality of learning. However, the use of AI technology can only be a tool, and the final decision must still be made by humans. Therefore, the use of AI in assessment requires special attention in terms of ethics and the development of human capabilities to understand and use AI technology wisely.Keywords: Artificial Intelligence, Assessment Abstrak: Penerapan Artificial Intelligence (AI) dalam penilaian pembelajaran telah menarik perhatian banyak ahli pendidikan, peneliti, dan praktisi. Penelitian ini membahas peluang dan tantangan penggunaan AI dalam asesmen pembelajaran. Asesmen tradisional memiliki kelemahan dalam hal kesalahan penilaian, ketidakmampuan mengukur kemampuan individu yang tidak terukur dalam bentuk asesmen tertentu, biaya dan waktu yang signifikan, umpan balik yang lambat, dan ketidakmampuan untuk disesuaikan secara individual. Beberapa penelitian menunjukkan bahwa penggunaan AI dalam asesmen dapat meningkatkan akurasi, validitas, dan reliabilitas asesmen, mengurangi bias penilai manusia, memungkinkan asesmen adaptif, meningkatkan efisiensi waktu dan biaya, memberikan umpan balik yang lebih cepat dan tepat waktu, serta membantu dalam mengidentifikasi kebutuhan individu dan meningkatkan kualitas pembelajaran. Namun, penggunaan teknologi AI hanya dapat menjadi alat bantu, dan keputusan akhir tetap harus dilakukan oleh manusia. Oleh karena itu, penggunaan AI dalam asesmen memerlukan perhatian khusus dalam hal etika dan pengembangan kemampuan manusia dalam memahami dan memanfaatkan teknologi AI dengan bijak.Kata Kunci: Kecerdasan Buatan, Asesmen
Pengembangan E-Modul Matematika berbasis PBL pada Materi Program Linier
Authors: Setiawan Rudy , Atiqoh Atiqoh , Karyono Karyono 
Published: October 2024

Abstract: The purpose of thus study is to develop learning media in form of e-module. It is research and development which implements ADDIE method. It is conducted on eleventh grade students of SMAN 3 Blitar. The research data are quantitative and qualitative which are collected using documentation, interview, and questionnaire. The data is analyzed using descriptive analysis technique. The conclusion of this study reveals that ADDIE model is utilized to develop mathematics e-module based on problembased learning in the material of a linear programme. It shows that mathematics e-module is created using MIT AI2 Companion. It is statrd ti be very good and appropriate. In the last development, this e-module achieves very good assessment from students, so it needs to be implemented in the material of a linear programme in the future Keywords: e-module, mathematics, problem based learning, a linear programme Abstrak: Tujuan penelitian ini adalah mengembangan media pembelajaran dalam bentuk e-modul. Penelitian ini merupakan penelitian pengembangan atau Research and Development (R&D). Metode pengembangan yang digunakan adalah metode ADDIE. Penelitian ini dilaksanakan di SMA Negeri 3 Blitar dengan melibatkan siswa kelas XI di SMA Negeri 3 Blitar. Data pada penelitian ini berbentuk kuantitatif dan kualitatif. Teknik pengumpulan data dengan menggunakan teknik dokumentasi, wawancara, dan angket. Teknik analisis data menggunakan teknik analisis deskriptif. Simpulan penelitian ini adalah model ADDIE digunakan dalam mengembangkan e-modul matematika berbasis PBL pada materi program linier. Hasil pengembangan menunjukkan bahwa e-modul matematika yang dibuat di software MIT AI2. Companion mendapat penilaian sangat baik dan layak digunakan serta pada akhir pengembangan menunjukkan bahwa e-modul ini mendapat penilaian sangat baik oleh siswa sehingga pada masa mendatang e-modul ini perlu diimplementasikan pada materi program linier. Kata Kunci: e-modul, matematika, PBL, program linier
Dampak Pandemi Covid-19 terhadap Kualitas Pembelajaran Daring di Universitas HKBP Nommensen Medan (Pada Fakultas Keguruan dan Ilmu Pendidikan Prodi Pendidikan Ekonomi) 2021
Authors: Sinaga Dearlina , Sari Nova Yunita , Sormin Taridauli , Sihombing Yolandita Indriani 
Published: October 2024

Abstract: The covid-19 pandemic has a very bad influence on education. For instance, the teaching and learning activities in the classroom can no longer be carried out. Therefore, the purpose of this study is to find out the influence of COVID-19 pandemic on online learning carried out by the Economics Department, FKIP at University of HKBP Nommensen, Medan. This study is a qualitative research with the subjects of study are students of the Economics Department. Data collection techniques are observation, questionnaires, and interviews. The data validation technique uses source triangulation. The data analysis technique in this study implements content analysis which includes three activities, namely, data reduction, data presentation, and drawing conclusions. The conclusion of this study is that the online learning; during the covid-19 pandemic carried out by the Economic Department at the University of HKBP Nomensen Medan by utilizing internet media and learning applications that have been provided; has not been implemented properly or has not been optimal because there are several indicators that have not been fulfilled in which the indicator comes from students and lecturers. Keywords: covid-19 pandemic, online learning, Economics Department, University students Abstrak: Pandemi covid-19 memberikan pengaruh sangat buruk terhadap pendidikan. Pengaruh buruk yang dapat dirasakan di dalam pendidikan ialah aktivitas belajar mengajar di dalam kelas kini tidak dapat lagi terlaksana. Oleh karena itu, tujuan penelitian ini adalah ingin mengetahui dampak pandemi covid-19 terhadap pembelajaran daring yang dilaksankan oleh Program Studi Ekonomi, FKIP Universitas HKBP Nommensen Medan. Penelitian ini merupakan penelitian kualitatif dengan subjek penelitian mahasiswa Program Studi Ekonomi, FKIP Universitas HKBP Nommensen Medan. Teknik pengumpulan data menggunakan observasi, angket, dan wawancara. Teknik validasi data menggunakan triangulasi sumber. Teknik analisis data pada penelitian ini menggunakan konten analisis yang mencakup tiga kegiatan, yaitu, reduksi data, penyajian data, dan penarikan simpulan. Simpulan penelitian ini adalah proses pembelajaran daring selama pandemi covid-19 yang dilakukan oleh Program Studi Pendidikan Ekonomi di universitas HKBP Nomensen Medan dengan memanfaatkan media internet dan aplikasi belajar yang sudah sediakan belum terlaksana dengan baik atau belum optimal karena ada beberapa indikator yang belum terpenuhi, baik itu indikator yang berasal dari mahasiswa maupun dosen. Kata Kunci: pandemi covid-19, pembelajaran daring, Program Studi Ekonomi, mahasiswa
Development of Learning Module for Observation Report During the Covid-19 Pandemic
Authors: Siagian Besliana Afriani , Sitorus Nurhayati , Sitepu Christina 
Published: October 2024

Abstract: Innovation of education is needed to ensure effective online learning practices during the pandemic. It is necessary to avoid the accumulation of assignments without sufficient materials. Material needs must be met, for that a module is needed. this R&D-based study was conducted to determine the feasibility of the learning module. The research subject were several students from SMA Negeri 14, SMA Yapim, SMA Negeri 21, SMA Nasrani 3, and SMA Advent Air Bersih in Medan. Data were collected using a 4-D model and the results showed that the module was feasible to be used as indicated by the validation and try out score from lecturers, teachers, and students got score above 75%. Keywords: module; online learning; observation report Abstrak: Inovasi pendidikan sangat dibutuhkan untuk mengefektifkan pembelajaran online di masa pandemi. Pembelajaran online perlu menghindari menumpuk tugas tanpa materi yang cukup. Kebutuhan akan materi harus terpenuhi, untuk itulah diperlukan modul. Penelitian ini berbasis research and development bertujuan untuk mengetahui kelayakan modul pembelajaran. Subjek penelitian adalah sejumlah siswa di Kota Medan, yakni SMA Negeri 14 Medan, SMA Yapim Medan, SMA Negeri 21 Medan, SMA Nasrani 3 Medan, SMA Advent Air Bersih. Teknik pengumpulan data menggunakan model 4-D dan hasil penelitian menunjukkan bahwa modul layak digunakan dilihat dari hasil uji validasi dan uji coba terhadap dosen ahli, guru, dan siswa memperoleh nilai di atas 75 %. Kata Kunci: modul; pembelajaran online; laporan hasil observasi
In-silico production of bioactive enrichment soil fertilizer from agricultural by-products towards bioeconomics perspectives
Authors: Martinez Camacho Rubi Alejandra , Rivas Garcia TOMAS , Ascencio Valle Felipe de Jesus , Beltran Morales Luis Felipe , Castellanos Cervantes Thelma Rosa , Vogele Ralf Thomas 
Published: October 2024

Objective: To evaluate production facilities biorefinery design of bioactive enrichment soil fertilizer using food waste generated by farms in Baja California Sur (BCS), México, of five agricultural commodities towards bioeconomic perspectives. Design/methodology/approach: BCS state was the study area. A mathematical model biorefinery design was made using a Mixed Integer Linear Program approach. Four layers of decision were used, Biomass, Production facilities, Storage and Consumer location. SuperPro Designer was used to biorefinery design and model was formulated in Phyton. Results: Model shows two optimal production facilities: Valle de Vizcaino (VV) and Valle de Santo Domingo (VSD). VV processes strawberry and tomato with net profit of 50.28. While VSD processes orange and asparagus with net profit of 35.48. Production line goes from May to April. Ascorbic acid and quercetin were considered to enrichment the soil fertilizer. Limitations on study/implications: This study did not produce bioactive compounds in industrial way only use mathematical modeling program and equations to predict the optimal scenario to production facilities location in an agricultural region. Findings/conclusions: Model showed the importance of consider four interconnected decision layers. The framework was developed for capturing food waste generation dynamics. These dynamics display a very important role in all other dimensions’ decisions and that an efficient biorefinery design must account for these dynamics.
Investigating Deception Findings in Canadian Refugee Status Rejections: Legal Inferences and Psychological Assumptions - Dataset
Authors: Evans Cameron Hilary , Herlihy Jane , Hynie Michaela 
Published: October 2024

<p>This set of files contains:</p>
<ul>
<li>the descriptive information for our data set (Excel)</li>
<li>the coded data (NVivo); this data consists of decisions of the Refugee Protection Division of the Immigration and Refugee Board that were released to the researchers under the Access to Information Act. The Board removed any personal or sensitive information that could identify the claimant or a witness before making these decisions publicly available.</li>
<li>the results of the interrater reliability analysis (Excel)</li>
<li>the three codebooks (Word): the 'Inferences codebook' that the coders used to identify the legal inference that decision-makers relied on to support their deception findings; the 'Support codebook' that the coders used to assess the legal weight of these inferences; and the 'Assumptions codebook' that the coders in used to capture the psychological assumptions underlying these inferences. </li>
</ul>
<p>Ethics Statement: This study did not require Research Ethics Board approval because it consists of legal judgments in the Public Domain. </p>
FRANCOPHONE RESEARCH WORKS ON HRYHORII SKOVORODA (1820s — 2010s)
Authors: Kravets Yarema 
Published: October 2024

The paper presents significant facts concerning the French-language interpretation of the writings by Hryhorii Skovoroda (1722—1794). Having begun as far back as the 1820s, 34 years following the philosopher’s death, Francophone presentations of Skovoroda’s works and ideas offered interesting reflections on the extraordinary talent of the Ukrainian philosopher. The desire of both French and Ukrainian literary scholars of the French diaspora to familiarize the wider public with Skovoroda's legacy resulted in numerous publications in Francophone editions from the 1920s—1930s and the second half of the 19th century.
The paper also takes into account anthology-type Francophone editions of Ukrainian literature that present individual samples of Hryhorii Skovoroda’s works. Additionally, it examines the 1973 Paris Skovoroda Colloquium, including interpretations focusing on Platonic elements in the Ukrainian philosopher’s works, particularly his ideas of self-cognition and pre-personalism.
Many works emphasized that H. Skovoroda was a typical impersonation of Ukrainian mentality and spirituality, serving as an archetype of the Ukrainian people in terms of their deepest psychological roots. He was interpreted as a philosopher who was a spokesman for his people. Valuable multifaceted research works on H. Skovoroda’s legacy emerged in the 1920s, during the period of the “Ukrainian National Revival,” when Skovoroda’s main point, that is Socratic desire “to know oneself,” proved to be particularly relevant. French-language research works on the legacy of Skovoroda arose interest to the Ukrainian philosophy in general.
A survivability analysis of enterprise hard drives incorporating the impact of workload
Authors: Mallik Aman , Reddy B Ranjith , Sahoo Gadadhar 
Published: October 2024

IntroductionHard disk drive (HDD) failure is a significant cause of downtime in enterprise storage systems. Research suggests that data access rates strongly influence the survival probability of HDDs.MethodsThis paper proposes a model to estimate the probability of HDD failure, using factors such as the total data (TD) read or written and the average access rate (AAR) for a specific drive model. The study utilizes a dataset of HDD failures to analyze the effects of these variables.ResultsThe model was validated using case studies, demonstrating a strong correlation between access rate management and reduced HDD failure risk. The results indicate that managing data access rates through improved throttle commands can significantly enhance drive reliability.DiscussionOur approach suggests that optimizing throttle commands at the storage controller level can help mitigate the risk of HDD failure by controlling data access rates, thereby improving system longevity and reducing downtime in enterprise storage systems.
Exploring quantitative trait nucleotides associated with response to yam mosaic virus severity and tuber yield traits in Dioscorea praehensilis Benth. germplasm via genome-wide association scanning
Authors: Adewumi Adeyinka S. , Adejumobi Idris I. , Opoku Vincent A. , Asare Paul A. , Adu Michael O. , Taah Kingsley J. , Stanley Adekemi E. , Olatunde Temitope E. , Afutu Emmanuel , Akaba Selorm , Mushoriwa Hapson , Agre Paterne A. 
Published: October 2024

BackgroundYam production in sub-Saharan African countries faces challenges due to susceptibility to yam mosaic virus (YMV) disease, leading to significant yield losses. Dioscorea praehensilis, a semi-cultivated yam species known for its high yield and resistance to YMV, can be utilized as a new variety and a gene source to enhance tuber yield and YMV resistance of White Guinea yam. Investigating the genetic basis of tuber yield-related traits and YMV resistance in D. praehensilis through association mapping will facilitate the traits discovery and deployment into the yam breeding program.MethodologyA total of 132 D. praehensilis genotypes were evaluated in 2022 and 2023 seasons for tuber yield per plant, tuber size ratio and for mosaic virus severity response. The genotypes were sequenced using SNP markers generated from Diversity Array Technology Platform. The trait association analysis was conducted using mixed linear model implemented in GWASpoly package followed for putative genes analysis.ResultsPopulation structure and phylogeny analyses using 4,525 single nucleotide polymorphism (SNP) markers grouped the 132 D. praehensilis genotypes into three clusters. Using multiple gene action models which include dominant, additive, and general models, 27 SNP markers were significantly identified to be associated with the tuber yield, tuber size ratio and yam mosaic virus severity. Of these 27 SNPs, we identified three and two SNP markers for tuber yield and yam mosaic virus severity, respectively as stable markers across years. Using gene annotation, we identified 10 putative genes such as Serine/threonine-/dual specificity protein kinase, catalytic domain involved in starch biosynthesis and Ribosomal protein L5 involved in defense signaling against virus diseases. The marker effect revealed that alleles CC and TT were associated with high tuber yield, while AA and AC were linked with low tuber yield. For YMV severity response, alleles CC and CT were linked with low YMV severity, while TT was associated high YMV severity prediction.ConclusionThe results of this study offer valuable insights into comprehending the functional networks involved in developing strategies to enhance tuber yield and resistance to yam mosaic virus in Dioscorea spp. The markers and candidate genes discovered in this research will serve as crucial genomic resources for selection of D. praehensilis and other yam species.
SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression
Authors: Chen Zhiqiang , Wang Shujing , Wang Jingrui , Wang Ying , Qi Xiangjun , An Bo , Sun Lingling , Lin Lizhu 
Published: October 2024

BackgroundThis study investigated the expression and role of Synaptosome associated protein 25 (SNAP25) in high-grade neuroendocrine carcinoma (HGNEC).MethodsWe used differentially expressed analysis and weighted gene co-expression network analysis (WGCNA) to identify key genes and modules in HGNEC. KEGG and GO analyses helped understand these genes’ roles, and ROC curves assessed their diagnostic value. We also studied SNAP25’s relation to immune infiltration and confirmed findings with in vitro and vivo experiments and datasets.ResultsWGCNA identified 595 key genes related to pathways like MAPK signaling, GABAergic synapse, and cancer-related transcriptional misregulation. Top genes included SNAP25, MYC, NRXN1, GAD2, and SYT1. SNAP25 was notably associated with M2 macrophage infiltration. Dataset GSE40275 confirmed SNAP25’s high expression and poor prognosis in HGNEC. qRT-PCR and WB analyses showed increased SNAP25 and c-MYC levels in HGNEC, promoting MEK/ERK pathway activity. Reducing SNAP25 decreased H1299 cell proliferation, migration, invasion, and levels of c-MYC, MEK, and ERK. Finally, in vivo experiments further confirmed that SNAP25 knockout can inhibit tumor growth.ConclusionSNAP25 regulates c-MYC activation by stimulating the MEK/ERK pathway, ultimately influencing the development of HGNEC.
Risk factors for type 2 diabetes mellitus in Chinese rheumatoid arthritis patients from 2018 to 2022: a real-world, single-center, retrospective study
Authors: Pei Ruomeng , Wang Jia , He Peifeng , Yu Qi , Zhang Shengxiao , Shi Gaoxiang , Liu Geliang , Li Xiaofeng 
Published: October 2024

IntroductionIn patients with rheumatoid arthritis (RA), the increased risk of concomitant type 2 diabetes mellitus (T2D) is an important contributor to increased mortality and decreased quality of life; however, the mechanisms and pathogenetic factors remain unknown. MethodsIn this study, we aimed to assess the risk factors for T2D in patients with RA. We recruited 206 healthy controls and 488 patients with RA, 160 of whom had comorbid T2D. General clinical information, disease characteristics, and circulating lymphocyte levels detected using modified flow cytometry were collected from all participants. Logistic regression models adjusted for confounders were fitted to estimate the risk factors of T2D in patients with RA.ResultsThe incidence of RA in patients with T2D was 15.6%. Patients with RA and T2D had a longer disease duration, higher BMI, and a higher incidence of hypertension and a family history of diabetes than those with RA but no T2D. The absolute numbers of T helper 2 cell (Th2) and Regulatory T cells (Treg) decreased in patients with RA and T2D, which led to an increase in the ratios of Th1/Th2 and Th17/Treg cells. Multivariate logistic regression analysis showed that a family history of diabetes, a higher incidence of hypertension, higher neutrophil-lymphocyte ratio (NLR) levels, lower platelet-lymphocyte ratio (PLR) levels, and fewer circulating Th2 and Treg cells were associated with an increased risk of T2D in patients with RA.DiscussionThe levels of peripheral lymphocytes, especially Th2 and Treg cells, are closely related to the occurrence of T2D in patients with RA; however, the influence of body mass index (BMI), family history of diabetes, and systemic inflammation should not be ignored.