bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peningkatan Hasil Belajar PPKN Materi Perilaku yang Sesuai Dengan Sila Pancasila Menggunakan Model Pembelajaran Kooperatif Tipe Make A Match Pada Siswa Kelas II SD Negeri 1 Bumirejo, Kecamatan Puring, Kabupaten Kebumen Tahun Ajaran 2022/2023
Authors: Sholiah Mar'atu , Susiani Tri Saptuti , Chamdani Muhamad 
Published: November 2023

<p>Tujuan penelitian ini adalah meningkatkan hasil belajar PPKn materi perilaku yang sesuai dengan sila pancasila pada siswa kelas II melalui penggunaan model pembelajaran kooperatif tipe <em>make a match</em>. Penelitian tindakan kelas ini dilaksanakan dalam tiga siklus. Subjek penelitian ialah guru dan siswa kelas II SD Negeri 1 Bumirejo. Data yang digunakan berupa data kualitatif dan kuantitatif. Teknik pengumpulan data menggunakan observasi, wawancara, dan tes. Validitas data menggunakan triangulasi sumber dan teknik. Analisis data dilaksanakan melalui reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan terjadi peningkatan pembelajaran PPKn materi perilaku yang sesuai dengan sila pancasila dengan model pembelajaran kooperatif tipe <em>make a match</em>, persentase ketuntasan belajar siswa siklus I sebesar 76,66%, pada siklus II sebesar 83,33%, dan pada siklus III sebesar 93,33%. Dapat disimpulkan bahwa penggunaan model pembelajaran kooperatif tipe <em>make a match</em> dapat meningkatkan hasil belajar PPKn materi perilaku yang sesuai dengan sila pancasila pada siswa kelas II SD Negeri 1 Bumirejo tahun ajaran 2022/2023.</p>
Penerapan Model Pembelajaran Project Based Learning untuk Meningkatkan Keterampilan Menulis Puisi pada Siswa Kelas IV SD Muhammadiyah Kleco 2 Tahun Ajaran 2022/2023
Authors: Priyatnomo Maulida Ajeng , Khasanah Uswatun , Wahyuningsih Sri 
Published: November 2023

<p>Penelitian ini mempunyai tujuan: 1) mendeskripsikan penerapan model pembelajaran <em>Project Based Learning</em>, 2) meningkatkan keterampilan menulis puisi, 3) mendiskripsikan kendala dan solusi dari penerapan model pembelajaran <em>Project Based Learning</em>. Penelitian ini adalah Penelitian Tindakan Kelas (PTK) yang berkolaborasi dengan guru kelas dan siswa. Instrumen penelitian ini yaitu lembar observasi, lembar wawancara, dan soal tes unjuk kerja keterampilan menulis puisi. Teknik pengumpulan data menggunakan observasi, wawancara, tes, dan dokumentasi. Analisis data dilaksanakan melalui reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini, yaitu: (1) penerapan model pembelajaran <em>Project Based Learning</em> yang dilaksanakan melalui 6 tahap, yaitu: a) Penentuan proyek, b) Perencanaan langkah-langkah penyelesaian proyek, c) penyusunan jadwal pelaksanaan proyek, d) Penyelesaian proyek dengan fasilitas dan monitoring guru, e) Penyusunan laporan dan presentasi/publikasi hasil proyek, f) Evaluasi proyek dan hasil proyek; (2) penerapan model pembelajaran <em>Project Based Learning</em> dapat meningkatkan keterampilan menulis puisi yang diketahui melalui peningkatan persentase ketuntasan siswa sebesar 37,1% pada pra-siklus, 57,35% pada siklus I, dan 90,65% pada siklus II.</p>
Pengembangan Media Flipchart Berbasis Gambar Materi Sistem Ekskresi Manusia untuk Meningkatkan Minat dan Hasil Belajar Siswa Kelas VIII Sekolah Menengah Pertama
Authors: Jannah Vivi Samrotul , Murtadlo Murtadlo , Suparti Suparti 
Published: November 2023

<p>Penelitian ini bertujuan untuk mengetahui pengembangan, kelayakan dan peningkatan minat dan hasil belajar siswa pada mata pelajaran IPA sistem ekskresi pada manusia di Sekolah Menengah Pertama. Penelitian ini menggunakan model pengembangan ADDIE dan dilaksanakan di MTs Al Ma’arif Bangkalan dengan kelas VIII-A dan kelas VIII-B yang berjumlah masing-massing 25 anak dari kelas eksperimen dan kelas kontrol. Teknik pengumpulan data menggunakan metode observasi, angket, tes serta wawancara. Teknis analisis data berupa analisis kualitatif dan analisis kuantitatif. Hasil penelitian menunjukkan bahwa: (1) pengembangan media <em>flipchart </em>berbasis gambar terdiri dari beberapa aspek pengembangan, yaitu media, materi dan bahasa; (2) Tingkat kelayakan media <em>flipchart </em>berbasis gambar<em> </em>materi sistem ekskresi manusia masuk dalam kategori sangat layak atau sangat valid. Hal ini terlihat dari penilaian ahli media adalah 94, dari ahli materi 77 dan dari ahli bahasa 91 sehingga rata-rata dari kevalidan media adalah 87 ( Sangat Valid ); (3) Minat dan hasil belajar siswa meningkat setelah menggunakan media <em>flipchart </em>berbasis gambar. Hal ini ditunjukkan oleh minat siswa yang awalnya 31,48 meningkat menjadi 52,32 dan hasil belajar siswa yang awalnya 47,4 menjadi 87.</p>
Penerapan Model Pembelajaran Project Based Learning untuk Meningkatkan Motivasi dan Hasil Belajar IPAS Kelas V di SD Muhammadiyah Wonokromo 1
Authors: Ulfah Khikmah Maria , Sukma Hanum Hanifa , Kurniawati Min 
Published: November 2023

Penelitian ini dilatarbelakangi oleh motivasi belajar kelas V yang masih kurang dan hasil belajar IPAS kelas V yang masih di bawah KKM.Penelitian ini bertujuan untuk mengetahui peningkatan motivasi dan hasil belajar IPAS kelas V di SD Muhammadiyah Wonokromo 1 melalui penerapan model pembelajaran <em>Project Based Learning.</em>Jenis penelitian ini merupakan penelitian tindakan kelas dengan model Stephen Kemmis dan Mc.Taggart.Teknik pengumpulan data pada penelitian ini,dilakukan dengan observasi,angket,dan tes.Teknik analisis data pada penelitian ini menggunakan kuantitatif deskriptif.Hasil penelitian ini,menunjukkan bahwa terjadi peningkatan persentase rata-rata motivasi peserta didik,yang sebelumnya pada saat prasiklus sebesar 57,03%,lalu meningkat di siklus I menjadi 75%,dan di siklus II meningkat menjadi 81,2% serta peningkatan hasil rata-rata nilai IPAS peserta didik yang semula sebesar 57,62 pada saat pra siklus,lalu di siklus I menjadi 65,25 selanjutnya di siklus II menjadi 85.Dapat disimpulkan bahwa penerapan model pembelajaran <em>Project Based Learning,</em>dapat meningkatkan motivasi dan hasil belajar IPAS kelas V di SD Muhammadiyah Wonokromo 1.
Ipsilateral Concurrent Knee Arthroplasty and Tibial Osteotomy with 3D-Printed Patient-Specific Instrumentation
Authors: Vaziri Arash Sharafat , Karimpour Morad , Tahmasebi Mohammad Naghi , Hosseini Seyedeh Reihaneh , Moradkhani Ghazaleh , Javidmehr Sina , Vosoughi Fardis 
Published: November 2023

Case:
A 70-year-old woman presented with knee pain and instability and was diagnosed with advanced knee osteoarthritis and bifocal tibial deformities. The complexity of the case challenged our team to perform a significant sagittal correction (>60°) and restore her ability to walk independently. We performed ipsilateral total knee arthroplasty and anterior closed wedge tibial osteotomy using virtual planning and 3D-printed patient-specific instrumentation.

Conclusion:
Using 2 separate 3D-printed patient-specific cutting guides for this patient with a complex deformity and managing the whole planning process in close collaboration between the surgeons and engineers resulted in a satisfactory postoperative outcome, optimal implant positioning and leg alignment, and minimal soft-tissue damage.
Vertebropexy as a Ligamentous Stabilization for Degenerative Low-Grade Spondylolisthesis
Authors: Farshad Mazda , Fasser Marie-Rosa , Widmer Jonas , Unterfrauner Ines , Schader Jana Felicitas , Calek Anna-Katharina 
Published: November 2023

Case:
Three patients with low-grade spondylolisthesis were treated with vertebropexy, a new surgical technique that replaces rigid fusion with ligamentous stabilization. Clinical outcomes, functional radiographs, and magnetic resonance imaging were used to document the early clinical results of this biomechanically established and promising new surgical method.

Conclusion:
Vertebropexy may be a valuable alternative to rigid fusion in the treatment of low-grade degenerative spondylolisthesis.
A Hybrid Data-Physics Framework for Reservoir Performance Prediction with Application to H2S Production
Authors: Leeuwenburgh Olwijn , Egberts Paul J. P. , Barros Eduardo G. D. , Turchan Lukasz P. , Dilib Fahad , Lødøen Ole-Petter , de Bruin Wouter J. 
Published: November 2023

Summary
Model-based reservoir management workflows rely on the ability to generate predictions for large numbers of model and decision scenarios. When suitable simulators or models are not available or cannot be evaluated in a sufficiently short time frame, surrogate modeling techniques can be used instead. In the first part of this paper, we describe extensions of a recently developed open-source framework for creating and training flow network surrogate models, called FlowNet. In particular, we discuss functionality to reproduce historical well rates for wells with arbitrary trajectories, multiple perforated sections, and changing well type or injection phase, as one may encounter in large and complex fields with a long history. Furthermore, we discuss strategies for the placement of additional network nodes in the presence of flow barriers. Despite their flexibility and speed, the applicability of flow network models is limited to phenomena that can be simulated with available numerical simulators. Prediction of poorly understood physics, such as reservoir souring, may require a more data-driven approach. We discuss an extension of the FlowNet framework with a machine learning (ML) proxy for the purpose of generating predictions of H2S production rates. The combined data-physics proxy is trained on historical liquid volume rates, seawater fractions, and H2S production data from a real North Sea oil and gas field, and is then used to generate predictions of H2S production. Several experiments are presented in which the data source, data type, and length of the history are varied. Results indicate that, given a sufficient number of training data, FlowNet is able to produce reliable predictions of conventional oilfield quantities. An experiment performed with the ML proxy suggests that, at least for some production wells, useful predictions of H2S production can be obtained much faster and at much lower computational cost and complexity than would be possible with high-fidelity models. Finally, we discuss some of the current limitations of the approach and options to address them.
Long read sequencing characterises a novel structural variant, revealing underactive AKR1C1 with overactive AKR1C2 as a possible cause of severe chronic fatigue
Authors: Oakley Julia , Hill Martin , Giess Adam , Tanguy Mélanie , Elgar Greg 
Published: November 2023

Abstract
Background
Causative genetic variants cannot yet be found for many disorders with a clear heritable component, including chronic fatigue disorders like myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). These conditions may involve genes in difficult-to-align genomic regions that are refractory to short read approaches. Structural variants in these regions can be particularly hard to detect or define with short reads, yet may account for a significant number of cases. Long read sequencing can overcome these difficulties but so far little data is available regarding the specific analytical challenges inherent in such regions, which need to be taken into account to ensure that variants are correctly identified. Research into chronic fatigue disorders faces the additional challenge that the heterogeneous patient populations likely encompass multiple aetiologies with overlapping symptoms, rather than a single disease entity, such that each individual abnormality may lack statistical significance within a larger sample. Better delineation of patient subgroups is needed to target research and treatment.
Methods
We use nanopore sequencing in a case of unexplained severe fatigue to identify and fully characterise a large inversion in a highly homologous region spanning the AKR1C gene locus, which was indicated but could not be resolved by short-read sequencing. We then use GC-MS/MS serum steroid analysis to investigate the functional consequences.
Results
Several commonly used bioinformatics tools are confounded by the homology but a combined approach including visual inspection allows the variant to be accurately resolved. The DNA inversion appears to increase the expression of AKR1C2 while limiting AKR1C1 activity, resulting in a relative increase of inhibitory GABAergic neurosteroids and impaired progesterone metabolism which could suppress neuronal activity and interfere with cellular functionin a wide range of tissues.
Conclusions
This study provides an example of how long read sequencing can improve diagnostic yield in research and clinical care, and highlights some of the analytical challenges presented by regions containing tandem arrays of genes. It also proposes a novel gene associated with a novel disease aetiology that may be an underlying cause of complex chronic fatigue. It reveals biomarkers that could now be assessed in a larger cohort, potentially identifying a subset of patients who might respond to treatments suggested by the aetiology.
Shaping Carbon into Carbon matrices with Tuneable Diameter and Photo luminescent Properties
Authors: Torre Alessandro La 
Published: November 2023

Abstract
We report on a new form of nanoscale carbon in the shape of hemispherical carbon matrices and with the bonding characteristics of either sp1 or sp2 carbon. The carbon matrices are formed spontaneously at high temperature from organic molecules adsorbed on the surface of colloidal nanoparticles, with the metal core acting simultaneously as catalyst and template for the carbon matrices growth. This new method of synthesis has demonstrated unprecedented levels of control over the carbon matrices formation, as thermally driven Ostwald ripening of the metal core provides for precise control of the carbon matrices diameter, whilst the propensity of metal nanoparticles to self-assemble into super-lattices enables the formation of highly ordered hexagonal arrays of the carbon matrices on different types of surfaces. Significantly, this new form of carbon exhibits photo luminescent activity in the visible and near-IR ranges, with the wavelength of emitted light determined by the length of sp1 chains which link sp2 domains.
A Comparison of Damage and Risk Conditions of the Structures in Mustafa Paşa Neighborhood after the Elazig Earthquake Dated 24 January 2020
Authors: Bahşi Emrah , Dada Ahmet , Demir Can , Cenikli Serdar 
Published: November 2023

Abstract
Elazig province, located on the Eastern Anatolian Fault Line (EAF), is located in a region with high seismicity. The behavior of structures built with traditional methods, which do not meet the boundary conditions specified in the current legislation of the structure design, threatens the safety of life and property. This situation was observed in the Elazig earthquake that occurred on January 24, 2020, and serious damage occurred to the structures after the earthquake. Within the scope of this study, damage detection studies were carried out in the borders of Elazığ Province, Merkez District, and Mustafa Paşa Neighborhood among 190 structures, 110 structures with intact structural systems were identified within the scope of Law No. 6306 on Transformation of Areas under Disaster Risk, and all the results were evaluated together.
An ultra-low detection limit Fe 3+ optical fiber fluorescent sensor based on a anti-B 18 H 22 derivative with aggregation-induced emission enhancement
Authors: Zheng Yong , Zheng Yulian , Zhang Yimei , Meng Hongyun , Tan Chunhua 
Published: November 2023

Abstract
A fluorescent Fe3+ probe ((C10H7NO2)2B18H20, M1) by introducing two isoquinoline-1-carboxylic acid group into the 6,9-position of anti-B18H22 was designed and synthesized. The structure of M1 was investigated by 1H NMR, MS, FT-IR and theoretical calculation, and its optical properties were characterized with UV-Vis and PL. M1 showed aggregation induced emission enhancement(AIEE) properties in THF/H2O solution, and exhibited excellent selectivity toward Fe3+ in THF/H2O (v/v, ƒw=95%) solution with a detection limit of 1.93×10-5 M. The interaction mechanism of probes with Fe3+ was attributed to the involvement of intermolecular charge transfer (ICT) process. Furthermore, a optical fiber fluorescent Fe3+ sensor based on M1 sensing film was developed, the detection limit of the optical fiber Fe3+ fluorescent sensor could be improved to13.8pM, the ultra-low detection limit is superior to most reported fluorescent probes (or sensors) towards Fe3+. This method has the advantages of high sensitivity, anti-interference and easy to operate, and has great potential in the field of the analysis of environmental and biological samples.
Clinical Characteristics and Perinatal Outcome of Fetuses with Ventriculomegaly
Authors: Davutoglu Ebru Alici , Arica Gorkem , Sahin Nazli Ece , Ucar Ayse Kalyoncu , Adaletli Ibrahim , Vural Zekeriyya Mehmet , Madazli Riza 
Published: November 2023

Abstract
Purpose
To assess the incidence of associated structural anomalies, chromosomal/genetic abnormalities, infections, and perinatal outcomes of fetuses with ventriculomegaly (VM), also to evaluate the role of fetal magnetic resonance imaging (MRI) in detecting associated intracranial anomalies.
Methods
Retrospective cohort study of 149 prenatally diagnosed pregnancies with fetal VM. VM was classified as mild (Vp = 10–12 mm), moderate (Vp = 12.1–15 mm), and severe (Vp > 15 mm). Fetal MRI was performed to 97 pregnancies.
Results
The incidences of an associated CNS, non-CNS, chromosomal anomaly, genetic abnormality and fetal infection were 42.3%, 11.4%, 6.1%, 2.1% and 1.3%, respectively. Fetal MRI identified additional CNS anomalies in 6.7% of cases, particularly in severe VM. The incidences of perinatal outcomes were 18.8% termination of pregnancy, 4% intrauterine and 8.1% neonatal or infant death. The rates of fetuses alive at > 12 months of age with neurological morbidity were 2.6%, 11.1% and 76.9% for mild, moderate and severe isolated VM, respectively.
Conclusion
The prognosis of fetuses with VM mostly depends on the severity and the associated anomalies. Mild to moderate isolated VM generally have favorable outcomes. Fetal MRI is particularly valuable in fetuses with isolated severe VM.
Genome analysis of Streptococcus spp. isolates from Animals in Pre-Antibiotic Era with Respect to Antibiotic Susceptibility and Virulence Gene Profiles
Authors: Hyeon Ji-Yeon , Kim Junwon , Chung David H. , Helal Zeinab H. , Polkowski Robert , Lee Dong-Hun , Risatti Guillermo R. 
Published: November 2023

Abstract
Lyophilized Streptococcus spp. isolates (n = 50) from animal samples submitted to the diagnostic laboratory at the University of Connecticut in the 1940s were revivified to investigate the genetic characteristics using whole-genome sequencing (WGS). The Streptococcus spp. isolates were identified as follows; S. agalactiae (n = 14), S. dysgalactiae subsp. dysgalactiae (n = 10), S. dysgalactiae subsp. equisimils (n = 5), S. uberis (n = 8), S. pyogenes (n = 7), S. equi subsp. zooepidemicus (n = 4), S. oralis (n = 1), and S. pseudoporcinus (n = 1). We identified sequence types (ST) of S. agalactiae, S. dysgalactiae, S. uberis, S. pyogenes, and S. equi subsp. zooepidemicus and reported ten novel sequence types of those species. Phylogenetic analysis revealed high genetic diversity of Streptococcus spp. in animals in the United States in the 1940s. WGS analysis revealed that none of Streptococcus spp. carried acquired antibiotic resistance genes but all S. agalactiae isolates carried the macrolide resistance gene (mre(A)). However, tetracycline resistance was observed in four out of 14 S. dysgalactiae isolates and in one S. equi subsp. zooepidemicus isolate. This data highlights that antimicrobial resistance is pre-existed in nature before the use of antibiotics. Virulence gene profile analysis revealed that the hasC gene was observed in all Streptococcus spp. isolates of this study, and none of the Streptococcus spp. isolates in this study harbored the cba and clpP genes. This study provides an invaluable resource for studying the evolutionary aspects of antibiotic resistance acquisition and virulence in Streptococcus spp.
Improving Byzantine Fault Tolerance Based on Stake Evaluation and Consistent Hashing
Authors: Wu Guangfu , Lai Xin , He Daojing , Chan Sammy , Fu Xiaoyan 
Published: November 2023

Abstract
In the context of distributed systems, Byzantine fault tolerance plays a critical role in ensuring the normal operation of the system, particularly when facing with malicious nodes. However, challenges remain in enhancing the security and reliability of Byzantine fault-tolerant systems. This paper addresses these challenges by improving a Byzantine fault-tolerant approach based on stake evaluation and improved consistency hashing. We propose a method that leverages node stakes to enhance system security and reliability by allocating different trust values. Additionally, we introduce improvements to the consistency hashing technique, enabling its effective operation in a Byzantine fault-tolerant environment. By introducing redundant nodes on the hash ring to mitigate the impact of malicious nodes, we enhance system fault tolerance and scalability. Experimental results demonstrate a significant improvement in system security and performance using this approach. These findings suggest that our method holds considerable potential for widespread application in the field of Byzantine fault tolerance, supporting the development of more reliable blockchain systems.
Scenario Projections for SARS-CoV-2, Influenza, and RSV Burden in
the US (2023-2024)
Authors: Meyers Lauren , Bi Kaiming , Bandekar Shraddha , Bouchnita Anass , Fox Spencer 
Published: November 2023

Abstract
Following the relaxation of COVID-19 non-pharmaceutical interventions, the concurrent spread of SARS-CoV-2, influenza and respiratory syncytial virus (RSV) from September 2022 to March 2023 taxed healthcare resources globally. The unpredictable nature of future tripledemics challenges public health planning, as these viruses have not settled into post-pandemic seasonal cycles and the future uptake of medical countermeasures is uncertain. This study employs mathematical models to project hospitalizations due to COVID-19, influenza, and RSV in the United States during the 2023-2024 respiratory virus season under plausible scenarios for viral transmission rates and the impacts of influenza vaccines, SARS-CoV-2 boosters, and newly-approved RSV vaccines and monoclonal antibodies. Projections suggest that, comparing the most optimistic to the most pessimistic scenarios, cumulative hospitalizations could decrease by 38% (95% CI: 21%, 54%) or increase by 45% (95% CI: 10%, 82%) relative to the 2022-23 season.
A detectable change in the air-sea CO2 flux estimate from sailboat measurements
Authors: Behncke Jacqueline , Landschützer Peter , Tanhua Toste 
Published: November 2023

Abstract
The sailboat Seaexplorer collected underway sea surface partial pressure of CO2 (pCO2) data for 129 days (2018–2021), including an Antarctic circumnavigation. By comparing ensembles of data-driven air-sea CO2 fluxes computed with and without sailboat data and by applying a detection algorithm, we show that these sailboat observations significantly change the regional air-sea CO2 flux density in the North Atlantic and Southern Ocean. While the globally integrated effect is small due to the compensating changes in both basins, the Southern Ocean, particularly frontal regions (40–60°S) during summertime, exhibited the largest air-sea CO2 flux changes averaging 20% of the regional mean. Assessing the sensitivity of the air-sea CO2 flux, the results stay robust within the expected random measurement uncertainty (± 5 µatm) but remain undetectable with a measurement offset of 5 µatm. We thus conclude that sailboats fill essential measurement gaps in remote ocean regions.