bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Kemampuan Number Sense Siswa Berdasarkan Kemampuan Matematika pada Materi Bilangan
Authors: Hidayah Rista Wiladatul , Sholihah Ummu 
Published: August 2023

Abstrak. Kemampuan Number Sense merupakan kemampuan mengenali bilangan beserta operasinya yang sangat diperlukan untuk membantu siswa belajar matematika. Kemampuan Number Sense setiap siswa berbeda-beda dipengaruhi oleh tingkat pendidikan, pengalaman belajar, serta kemampuan matematika (tinggi, sedang, dan rendah). Penelitian ini bertujuan untuk mendiskripsikan kemampuan Number Sense siswa berdasarkan kemampuan matematika pada materi bilangan kelas VII MTsN 1 Blitar. Penelitian ini menggunakan pendekatakan kualitatif deskriptif. Pengambilan data dengan cara tes tulis, wawancara, dan dokumentasi. Subjek terpilih yaitu 3 subjek sesuai dengan kategori tinggi, sedang, dan rendah. Analisis data dengan reduksi, penyajian, dan penarikan kesimpulan. Hasil penelitian menunjukkan siswa berkemampuan matematika tinggi dan sedang mampu menilai kewajaran suatu hasil perhitungan, menenetukan karakteristik hasil operasi bilangan dan implikasinya. Namun, subjek kemampuan matematika sedang belum mampu menentukan estimasi terdekat pada suatu hasil operasi bilangan dan merepresentasikannya. Keduanya juga belum mampu menenentukan sifat berurutan dan keteraturan pada sistem bilangan. Sedangkan siswa berkemampuan matematika rendah hanya mampu menentukan estimasi terdekat pada suatu hasil operasi bilangan dan merepresentasikannya, namun belum memenuhi kemampuan Number Sense yang lain.Kata Kunci:Kemampuan Number Sense, Kemampuan Matematika, Bilangan.
Bahan Ajar Model Blended-Comprehensive Mathematics Instruction (CMI) Berbantuan Geogebra
Authors: Delima Nita , Elfandi Putri , Shopia Anisa 
Published: August 2023

Abstrak. PISA 2018 menemukan bahwa ranking literasi matematika siswa Indonesia masih sangat rendah. Materi peluang merupakan bagian dari materi data dan ketidakpastian yang menjadi salah satu konten yang ada dalam instrumen PISA. Dengan demikian, kemampuan siswa Indonesia dalam menyelesaikan masalah dalam materi peluang tergolong masih rendah. Pandemi covid-19 telah mengakibatkan learning loss siswa. Penelitian ini bertujuan untuk mengembangkan bahan ajar menggunakan model blended-comprehensive mathematics instruction (CMI) berbantuan geogebra sebagai alternatif pembelajaran matematika siswa terutama untuk materi peluang. Â Model CMI yang dikombinasikan dengan Geogebra dalam pembelajaran blended dapat menjadi salah satu solusi memulihkan learning loss sebagai dampak dari pandemi.Kata Kunci: Pembelajaran Blended, CMI, Geogebra.
Development of Essay Test Assessment Rubric for Polya Theory-Based Mathematical Problem-Solving
Authors: Cahyadi Muhammad Rizki , Maryanto Bhaskoro Prasetyo Adi , Syaifuddin Mohammad , Darmayanti Rani 
Published: August 2023

Abstract. Assessment is an important part of the learning process. However, assessment is often carried out subjectively by the examiner, especially in essay tests. The scoring rubric is one of the solutions to minimize the subjectivity of the assessment to produce more objective and consistent grades. Therefore, it is necessary to develop an essay test assessment rubric. This study aims to produce a rubric for evaluating essay tests for mathematical problem-solving abilities based on Polya's theory. The method for developing an assessment rubric uses the Plomp model which consists of three phases, namely the initial research phase, the prototype phase, and the assessment phase. The results of the validity test by experts obtained a score of 3.40 on a scale of 1-4. The rubric of the validation results was then implicated in the assessment of the essay test given to 30 junior high school students. The implication of the rubric is as well as an empirical test of the effectiveness of the rubric. The empirical test results using three groups of raters obtained a correlation coefficient of 0.9290. Based on the results of validity tests and empirical tests, it can be concluded that the rubric for assessing essay tests for mathematical problem-solving abilities based on Polya theory is valid and feasible.Keywords: Mathematical Problem Solving, Polya, Rubric Assesment, Essay Test.
Etnomatematika: Aktivitas dan Kerajinan Tangan Masyarakat Dayak Jangkang
Authors: Ellissi Wike , Liliana Sepriani 
Published: August 2023

Abstrak. Jenis penelitian ini menggunakan penelitian kualitatif deskriptif dengan pendekatan etnografi. Penelitian ini bertujuan untuk mengeksplorasi aktivitas dan kerajinan tangan masyarakat dayak dalam kegiatan penanam padi serta bagaimana implementasinya dalam pembelajaran matematika. Data diperoleh dengan wawancara, observasi, dan dokumentasi. Analisis data dalam penelitian ini dengan cara pengumpulan data, penyajian data, dan penarikan kesimpulan. Pengambilan data dilakukan oleh peneliti dengan cara terjun langsung ke lapangan. Hasil penelitian menunjukkan bahwa kerajinan tangan masyarakat dayak jangkang dapat dijadikan materi untuk pembelajaran matematika khususnya pada materi Geometri yang terdiri dari Rotasi, Translasi, dan Refleksi. Kata Kunci: Etnomatematika, Aktivitas dan Kerajinan Tangan, Pembelajaran Geometri
Analisis Muatan Higher Order Thinking Skills Buku Teks Matematika SMP Kelas VIII
Authors: Ananda Alifa Sekar , Retnawati Heri 
Published: August 2023

Abstrak. Indonesia memperoleh peringkat 73 dari 79 negara partisipan PISA di tahun 2018. Dari peringkat tersebut bisa disimpulkan bahwa peserta didik tidak terbiasa dengan soal HOTS. Penelitian ini betujuan untuk mendiskripsikan muatan HOTS pada bagian materi, contoh soal, dan soal buku teks matematika SMP kelas VIII (Semester 1 dan 2) edisi revisi tahun 2017. Penelitian ini menggunakan pendekatan kualitatif dengan membahas konten. Sumber data penelitian yang digunakan adalah buku teks matematika SMP kelas VIII (Semester 1 dan 2) Kurikulum 2013 edisi revisi 2017 yang diterbitkan oleh Pusat Kurikulum dan Perbukuan Balitbang Kementerian Pendidikan dan Kebudayaan Republik Indonesia. Hasil penelitian ini menunjukkan bahwa jumlah kandungan HOTS tidak lebih dari setengah dari keseluruhan. Pada bagian materi, muatan HOTS yang terkandung sebesar 19% dengan indikator yang muncul adalah menganalisis (C4) sebesar 16%, mengevaluasi (C5) sebesar 0%, dan mencipta (C6) sebesar 3%. Pada bagian contoh soal, muatan HOTS yang terkandung sebesar 42% dengan indikator yang muncul adalah menganalisis (C4) sebesar 3%, mengevaluasi (C5) sebesar 0%, dan mencipta (C6) sebesar 39%. Sedangkan pada bagian soal, muatan HOTS yang terkandung sebesar 38% dengan indikator yang muncul adalah menganalisis (C4) sebesar 11%, mengevaluasi (C5) sebesar 2%, dan mencipta (C6) sebesar 25%.Kata Kunci: Analisis Konten, Buku Teks, Higher Order Thinking Skills (HOTS).
Performance Assessment pada Pembelajaran Matematika
Authors: Ramadani Mikiyana , Yuhana Yuyu , Sukirwan Sukirwan , Pujiastuti Heni , Syamsuri Syamsuri 
Published: August 2023

Abstrak. Matematika merupakan salah satu ilmu yang wajib dipelajari oleh semua kalangan, baik dari jenjang SD maupun Perguruan Tinggi. Namun, untuk menilai suatu pembelajaran, seperti matematika, diperlukan asesmen atau bentuk penilaian yang baik. Hal ini diharapkan agar semua aspek dapat terlihat dan terukur kecapaiannya. Maka dari itu penelitian ini akan mengkaji asesmen kinerja atau (Performance Assessment) menggunakan systematic literature review dimana peneliti mengkaji beberapa artikel dari tahun 2013-2022 dan mengambil kesimpulan dari studi literatur tersebut. Dari 163 artikel atau studi literatur yang diperoleh, hanya 18 yang akan diolah setelah melakukan langkah-langkah oleh Transfield (Tranfield et al., 2003). Pada kesimpulannya, diperoleh bahwa asesmen kinerja dapat dengan efektif berpengaruh dalam pembelajaran matematika.Kata Kunci: Penilaian Kinerja, Langkah Tansfield, Matematika
The relationships between acetylcholine-induced chest pain, objective measures of coronary vascular function and symptom status
Authors: Miner Steven E. S. , McCarthy Mary C. , Ardern Chris I. , Perry Chris G. R. , Toleva Olga , Nield Lynne E. , Manlhiot Cedric , Cantor Warren J. 
Published: August 2023

BackgroundAcetylcholine-induced chest pain is routinely measured during the assessment of microvascular function.AimsThe aim was to determine the relationships between acetylcholine-induced chest pain and both symptom burden and objective measures of vascular function.MethodsIn patients with angina but no obstructive coronary artery disease, invasive studies determined the presence or absence of chest pain during both acetylcholine and adenosine infusion. Thermodilution-derived coronary blood flow (CBF) and index of microvascular resistance (IMR) was determined at rest and during both acetylcholine and adenosine infusion. Patients with epicardial spasm (&gt;90%) were excluded; vasoconstriction between 20% and 90% was considered endothelial dysfunction.ResultsEighty-seven patients met the inclusion criteria. Of these 52 patients (60%) experienced chest pain during acetylcholine while 35 (40%) did not. Those with acetylcholine-induced chest pain demonstrated: (1) Increased CBF at rest (1.6 ± 0.7 vs. 1.2 ± 0.4, p = 0.004) (2) Decreased IMR with acetylcholine (acetylcholine-IMR = 29.7 ± 16.3 vs. 40.4 ± 17.1, p = 0.004), (3) Equivalent IMR following adenosine (Adenosine-IMR: 21.1 ± 10.7 vs. 21.8 ± 8.2, p = 0.76), (4) Increased adenosine-induced chest pain (40/52 = 77% vs. 7/35 = 20%, p &lt; 0.0001), (5) Increased chest pain during exercise testing (30/46 = 63% vs. 4/29 = 12%, p &lt; 0.00001) with no differences in exercise duration or electrocardiographic changes, and (6) Increased prevalence of epicardial endothelial dysfunction (33/52 = 63% vs. 14/35 = 40%, p = 0.03).ConclusionsAfter excluding epicardial spasm, acetylcholine-induced chest pain is associated with increased pain during exercise and adenosine infusion, increased coronary blood flow at rest, decreased microvascular resistance in response to acetylcholine and increased prevalence of epicardial endothelial dysfunction. These findings raise questions about the mechanisms underlying acetylcholine-induced chest pain.
Large wood supports Elwha revegetation by reducing ungulate browsing
Authors: Johnson Caelan , Douglas Chelsea , Mansmith Trevor , McLaughlin John 
Published: August 2023

IntroductionThe increasing number of dams approaching obsolescence drives a need for knowledge about riparian restoration associated with dam removal. Restoring woody vegetation on exposed reservoir beds following dam removal is essential to stabilizing sediment, reconnecting riverine and terrestrial systems, and providing future sources of shade, nutrients, and wood. Revegetation after dam removal on many rivers can be challenging due to rapidly drying sediment, low sediment nutrient content, and heavy ungulate browse pressure. Revegetation in Elwha River restoration, the largest dam removal to date, used large woody debris (LWD) to mitigate moisture and nutrient limitation but ungulate browsing has constrained woody plant growth in many coarse sediment deposits. We evaluated potential for LWD to reduce ungulate browsing following Elwha dam removal.MethodsWe studied LWD mitigation of browsing in the largest former reservoir and a comparable valley upriver with a natural floodplain. We measured browse intensity in randomly located plots stratified by four levels of LWD extent, from no LWD to complete LWD enclosure.ResultsLWD reduced browse intensity four-fold in the former reservoir, but only in plots fully surrounded by LWD. Partial LWD enclosure provided little browse reduction. We obtained similar results in the upriver valley, where browse intensity was somewhat lower except within wood clusters. Wood-mediated browse reduction was slightly greater in the former reservoir than in the upriver valley. Protection from browse was greatest for plant species preferred by ungulates.DiscussionThese results suggest forest restoration after dam removal can be expedited by surrounding young trees with large logs. Planting within LWD clusters or placing LWD clusters in restoration sites can facilitate establishment of forest islands in strategic locations. These forest islands can support dispersal of seeds and marine derived nutrients, reconnect established forest to the river, and potentially advance restoration by decades.
Chinese patients with 3M syndrome: clinical manifestations and two novel pathogenic variants
Authors: Xu Ningan , Liu Kangxiang , Yang Yongjia , Li Xiaoming , Zhong Yan 
Published: August 2023

Background: 3M syndrome is a rare autosomal recessive disease, characterized by intrauterine and postnatal growth retardation, facial dysmorphism, large head circumference, and skeletal changes, has rarely been reported in the Chinese population.Methods: We describe the clinical manifestations and gene variants in four sporadic cases of 3M syndrome in Chinese individuals from different families.Results: All cases had significant growth retardation, relative macrocephaly, and typical facial features. Exome sequencing revealed that two patients with 3M syndrome had homozygous variants of the CUL7 gene: one novel pathogenic variant and one previously reported pathogenic variant; the other two patients were heterozygous for variants in OBSL1, one of which had not been reported previously. Clinical evaluation indicated that these Chinese patients with 3M syndrome shared similar recognizable features with those reported in patients of other ethnic backgrounds, but not all patients with 3M syndrome in this study had normal development milestones. Two patients underwent recombinant human growth hormone (rhGH) therapy and showed accelerated growth in the first 2 years; however, the growth rate slowed in the third year in one case. There were no obvious adverse reactions during rhGH treatment.Conclusion: We report one novel CUL7 and one novel OBSL1 mutation in patients with 3M syndrome. Children with short stature, specific facial features, and physical symptoms should be referred for genetic testing to obtain precise diagnosis and appropriate treatment. The effects of rhGH treatment on adult height requires long-term observation and study in a large sample.
Are medication-induced salivary changes the culprit of osteonecrosis of the jaw? A systematic review
Authors: Suryani Isti Rahayu , Ahmadzai Iraj , That Minh Ton , Shujaat Sohaib , Jacobs Reinhilde 
Published: August 2023

PurposeThis systematic review was performed to assess the potential influence of medication-induced salivary changes on the development of medication-related osteonecrosis of the jaw (MRONJ).MethodsAn electronic search was conducted using PubMed, Web of Science, Cochrane, and Embase databases for articles published up to June 2023. A risk of bias assessment was performed according to the modified Newcastle–Ottawa Scale (NOS). Due to the heterogeneity of the selected studies in relation to the type of medications and outcomes evaluated, a meta-analysis could not be performed.ResultsThe initial search revealed 765 studies. Only 10 articles were found to be eligible based on the inclusion criteria that reported on the impact of salivary changes on MRONJ following the administration of different medications. A total of 272 cases of MRONJ (35% women, 32% men, and 32% with no gender reported) with a mean age of 66 years at the time of diagnosis were included. Patients administered with bisphosphonates, steroids, chemotherapy, thalidomide, interferon, and hormone therapy had a significantly higher association between decreased salivary flow and MRONJ occurrence. In addition, bisphosphonates, denosumab, and other bone-modifying agents showed a significantly higher risk of developing MRONJ owing to the changes in salivary microbiome profiles, cytokine profiles, interleukins, hypotaurine, and binding proteins.ConclusionThe reduction in salivary flow and changes in the concentration of salivary proteins were associated with the development of MRONJ. However, due to the availability of limited evidence, the findings of the review should be interpreted with caution.Prospero review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022327645.
Exploring the relationship between frailty and executive dysfunction: the role of frontal white matter hyperintensities
Authors: Pozo Natalia , Romero César , Andrade Maricarmen , Délano Paul H. , Medel Vicente , Troncoso Marco , Orellana Patricia , Rodriguez Maria Isabel , Fabres Camila , Delgado Carolina 
Published: August 2023

IntroductionFrailty is a geriatric syndrome frequently associated with executive dysfunction and white matter hyperintensities (WMH). But the relation between executive dysfunction and brain changes is poorly understood in frail subjects. Our hypothesis is that frontal-WMH mediates the association between frailty and executive dysfunction.MethodsA convenience sample of 113 subjects older than 65 years without dementia was studied with neuropsychological test, a structured clinical interview, physical examination and brain MRI. They were classified as robust or pre-frail and frail using the frailty phenotype score (0–5). The frontal WMH (F-WMH) were manually graduated (0–6) using the “Age-Related White Matter Changes score” from FLAIR sequences at a 3 Tesla brain MRI. A mediation analysis was done for testing whether F-WMH could act as a link factor between frailty phenotype score and executive dysfunction.ResultsThe group’s mean age was 74 ± 6 years, subjects with higher frailty score had more depressive symptoms and worse performance in executive function tests. A regression analysis that explained 52% of the variability in executive functions, revealed a significant direct effect of frailty score (Standardized βcoeff [95% CI] −0.201, [−0.319, −0.049], and F-WMH (−0.152[−0.269, −0.009]) on executive functions, while the F-WMH showed a small partial mediation effect between frailty and executive functions (−0.0395, [−0.09, −0.004]).DiscussionFrontal matter hyperintensities had a small mediation effect on the association between frailty and executive dysfunction, suggesting that other neuropathological and neurofunctional changes might also be associated with executive dysfunction in frail subjects.
EEG-based investigation of effects of mindfulness meditation training on state and trait by deep learning and traditional machine learning
Authors: Shang Baoxiang , Duan Feiyan , Fu Ruiqi , Gao Junling , Sik Hinhung , Meng Xianghong , Chang Chunqi 
Published: August 2023

IntroductionThis study examines the state and trait effects of short-term mindfulness-based stress reduction (MBSR) training using convolutional neural networks (CNN) based deep learning methods and traditional machine learning methods, including shallow and deep ConvNets as well as support vector machine (SVM) with features extracted from common spatial pattern (CSP) and filter bank CSP (FBCSP).MethodsWe investigated the electroencephalogram (EEG) measurements of 11 novice MBSR practitioners (6 males, 5 females; mean age 35.7 years; 7 Asians and 4 Caucasians) during resting and meditation at early and late training stages. The classifiers are trained and evaluated using inter-subject, mix-subject, intra-subject, and subject-transfer classification strategies, each according to a specific application scenario.ResultsFor MBSR state effect recognition, trait effect recognition using meditation EEG, and trait effect recognition using resting EEG, from shallow ConvNet classifier we get mix-subject/intra-subject classification accuracies superior to related previous studies for both novice and expert meditators with a variety of meditation types including yoga, Tibetan, and mindfulness, whereas from FBSCP + SVM classifier we get inter-subject classification accuracies of 68.50, 85.00, and 78.96%, respectively.ConclusionDeep learning is superior for state effect recognition of novice meditators and slightly inferior but still comparable for both state and trait effects recognition of expert meditators when compared to the literatures. This study supports previous findings that short-term meditation training has EEG-recognizable state and trait effects.
Temporal complexity in photoplethysmography and its influence on blood pressure
Authors: Xing Xiaoman , Huang Rui , Hao Liling , Jiang Chenyu , Dong Wen-Fei 
Published: August 2023

Objective: The temporal complexity of photoplethysmography (PPG) provides valuable information about blood pressure (BP). In this study, we aim to interpret the stochastic PPG patterns with a model-based simulation, which may help optimize the BP estimation algorithms.Methods: The classic four-element Windkessel model is adapted in this study to incorporate BP-dependent compliance profiles. Simulations are performed to generate PPG responses to pulse and continuous stimuli at various timescales, aiming to mimic sudden or gradual hemodynamic changes observed in real-life scenarios. To quantify the temporal complexity of PPG, we utilize the Higuchi fractal dimension (HFD) and autocorrelation function (ACF). These measures provide insights into the intricate temporal patterns exhibited by PPG. To validate the simulation results, continuous recordings of BP, PPG, and stroke volume from 40 healthy subjects were used.Results: Pulse simulations showed that central vascular compliance variation during a cardiac cycle, peripheral resistance, and cardiac output (CO) collectively contributed to the time delay, amplitude overshoot, and phase shift of PPG responses. Continuous simulations showed that the PPG complexity could be generated by random stimuli, which were subsequently influenced by the autocorrelation patterns of the stimuli. Importantly, the relationship between complexity and hemodynamics as predicted by our model aligned well with the experimental analysis. HFD and ACF had significant contributions to BP, displaying stability even in the presence of high CO fluctuations. In contrast, morphological features exhibited reduced contribution in unstable hemodynamic conditions.Conclusion: Temporal complexity patterns are essential to single-site PPG-based BP estimation. Understanding the physiological implications of these patterns can aid in the development of algorithms with clear interpretability and optimal structures.