bluuebunny/crossref_metadata_2025_split huggingface dataset:
NILAI DAN MAKNA RITUAL SU’I UWI PADA UPACARA ADAT REBA MASYARAKAT BOSIKO KECAMATAN BAJAWA KABUPATENNGADA (KAJIAN HISTORIS DAN SOSIOLOGIS)
Authors: Mawo Yoakim Rianto , Khotimah Khusnul , Tobing Sari Mellina 
Published: January 2023

Penelitian ini bertujuan untuk (1) mendeskripsikan proses ritual Sui Uwi pada upacara adat Reba Masyarakat Bosiko Kecamatan Bajawa Kabupaten Ngada (2) mengetahui nilai dan makna historis dari ritual Sui Uwi pada upacara adat Reba (3) mengetahui nilai dan makna sosial dari ritual Sui Uwi pada Upacara adat Reba Masyarakat Bosiko Kecamatan Bajawa Kabupaten Ngada.
Pada penelitian ini, peneliti menggunakan metode interpretasi dengan jenis penelitian desktiptif kualitatif. Pengambilan sampel secara purposive sampling dengan menggunakan sampel wilayah dan informan sebanyak 5 orang dari berbagai latar belakang dengan teknik pengumpulan data yaitu observasi, wawancara dan dokumentasi. Pengujian data dengan menggunakan teknik trianpulasi. Data dianalisis melalui tahapan pengumpulan data, reduksi data, penarikan kesimpulan dan verivikasi.
Hasil penelitian ini menunjukan bahwa (1). Proses ritual Sui Uwi pada upacara Reba di kampung Bosiko dimulai dari tahap pertama Kobe Ddheke yaitu malam pertama semua berkumpul di rumah induk/rumah adat. Tahap kedua Kobe Dhoi yaitu malam kedua yang ditandai dengan O Uwi sebuah tarian lantunan adat. Tahap ketiga Kobe Sui yaitu wejangan dan kisah ziarah perjalanan leluhur menuju ke tanah Ngada. (2) Terdapat nilai dan makna histori dari ritual Sui Uwi yaitu mengisahkan asal-usul orang Ngada, adanya nilai peduli sesama dan jiwa kepemimpinan dalam membangun komunitas adat dan kesatuan adat yang disebut kelompok Reba. (3) Terdapat nilai dan makna sosial dari ritual Sui Uwi diantaranya niali gotong-royong , ajaran hidup untuk saling membina hubungan dan persaudaraan.
PENERAPAN MODEL PEMBELAJARAN STUDENT TEAMS-ACHIEVEMENT DIVISION (STAD) BERBASIS METODE SORT CARD DI SMP SWASTA KALEMBU KUTURA KELAS VIII
Authors: Oba Murtiana , Bashofi Ferdinan , Rahadian Septa 
Published: January 2023

Penelitian ini adalah penelitian tindakan kelas (PTK) dengan dua siklus tindakan yang dari perencanaan, pelaksanaan tindakan, observasi, dan refleksi Objek penelitian di siswa kelas VIII SMP Swasta Kalembu Kutura dengan jumlah siswa 26 metode tes formatif observasi dan melalui angket.
Metode pembelajaran yang dikemas dengan menarik, bervariasi, dan menyenangkan Tidak membelian rasa bosan pada siswa saat proses pembelajaran berlangsung, sehingga pada hasilnya akan dapat meningkatkan hasil belajar yang baik. Salah satunya adalah model pelajam Student Teams-Achievement Division (Stand) Berbasis Metode Sort Card di SMP Swasta Kalembu Kutura sangat efektif digunakan karna dapat meningkatkan hasil belajar siswa
Hasil penelitian imi adanya peningkatan hasil belajar siswa dari siklus I jumlah siswa yang tuntas sebanyak 15 orang dan siswa yang belum tantas sebanyak 11 orang dengan rata-rata kelas 70,76 dan presentase ketam klasical 57,69% sedangkan pada siklus II jumlah siswa sebanyak 26 dan jumlah siswa yang belum tuntas sebanyak 4 orang dengan rata-rata kelas 81,15 dan presentase kenntasan kesalnya 82,46% sehingga terjadi peningkatan pada hasil siklus 1 kesiklus II.
MAKNA MAMULI DALAM MASYARAKAT DESA DINJO KECAMATAN KODI BANGEDO KABUPATEN SUMBA BARAT DAYA
Authors: Kaka Daniel , Hidayat Arif Wahyu 
Published: January 2023

ABSTRACT
The Dinjo village community interprets ma muli not only as an award but also as a value for the rights of women who will marry the man who proposes to her. Mamuli is one form of artistic culture so the most appropriate approach to find out the symbolic meaning in mamuli is to use a semiotic approach. The purpose of this study was to determine the origin of the mamuli symbol, the process of determining the mamuli symbol, and the meaning of the mamuli symbol in the community of Dinjo Village, Kodi Bangedo District, Southwest Sumba Regency. The method used in this research is the case study method. The source of this research data comes from the results of interviews with informants. The main instrument in this research is the researcher himself. Data collection was carried out by observation, interviews, and documentation. Data analysis was carried out using the analysis stages of data collection, data presentation, reduction, and conclusion. The results show that the history of Mamuli culture begins with the ancestors of the Sumba tribe. The meaning of mamuli symbol is a symbol of fertility for women. Mamuli was created to pay homage to women who are considered the givers and caregivers of life. Mamuli means a place to grow the soul, the earth that grows plants that are useful for humans. Mamuli is the way society used to glorify women. The material for making mamuli is also gold which is considered a symbol of the sun, including precious objects until mamuli are called eye stones. Efforts to preserve the Sumbanese ma muli culture can be done in several ways. The first way is to include ma muli culture in history learning at school so that students can learn about their culture at school. Another way is to make mamuli replicas as souvenir items for tourists. In addition, the government can also build facilities for museums that can exhibit cultural products which will later become references for educators.

Keywords: Mamuli Tradition, Local Culture, Cultural Preservation
PERAN SINGLE FIGHTER DIKEHIDUPAN SOSIAL DALAM MEMENUHI KEBUTUHAN EKONOMI KELUARGA DI DUSUN SIDORUKUN CLUMPRIT KABUPATEN MALANG
Authors: Mukmilah Aniswatul , Firdausi Faizah Ulumi , Novariyanto Rizki Agung 
Published: January 2023

Pengertian single fighter secara umum adalah orang tua tunggal. Single fighter mengurus dan membesarkan anak mereka sendiri tanpa bantuan dari pasangan, keluarga, baik itu pihak suami maupun pihak istri. Orang tua sebagai single fighter dituntut mampu melakukan peran gle parent memiliki kewajiban sangat besar dalam mengatur segala urusan keluarganya. Dalam keluarga single fighter tentu saja memiliki berbagai macam problematika paling rumit dibandingkan keluarga yang masih utuh. Single fighter harus bekerja demi keberlangsungan hidup keluarganya. Single fighter harus mampu menjalankan peran gandanya sebagai single fighter baik dibidang domestik dan publik. Orang tua yang berstatus single fightert harus bekerja keras demi mencari uang untuk menafkahi keluarganya dan juga memenuhi kebutuhan kasih sayang keluarganya, ia harus melakukan perencanaan dalam membagi waktu untuk menjalankan peran ganda tersebut. Orang tua yang berstatus single fightert harus bekerja keras untuk menafkahi keluarganya dan juga memenuhi kebutuhan kasih sayang keluarganya, ia haruslah melakukan perencanaan yang matang dalam menjalankan peran ganda. Tujuan dari penelitian ini adalah untuk mengetahui dan implementasi kehidupan sosial dan ekonomi sebagai penyandang single fighter di Desa Sidorukun Clumprit Kabupaten Malang. Penelitian ini adalah penelitian deskriptif naratif , yakni wawancara dan observasi, sasaran dari penelitian ini adalah perempuan yang berstatus single fighter(janda) sebagai informan atau responden dalam hal ini Teknik yang digunakan untuk pengumpulan data dilakukan dengan cara melakukan wawancara terhadap responden dan observasi. Teknik validitas data menggunakan triangulasi teknik dan triangulasi sumber. Teknik analisis data menggunakan teknik pengumpulan data, reduksi data, tampilan data dan menarik kesimpulan atau verifikasi data. Hasil dari penelitian ini adalah, pertama, strategi sosial yang ditunjukan oleh wanita single fighter dalam memenuhi kebutuhan ekonomi keluarga tanpa bantuan dari mantan suami dalam membesarkan anak, kedua, bagaimana cara ibu single fighter dalam mengatur waktu antara mengurus anak dengan masalah pekrjaan, ketiga, bagaimana peran ibu single fighter dikehidupan sosial bermasyarakat dengan baik dikarenakan dengan ststus yang disandang tersebut.
Controlled released naringin-loaded liposome/sucrose acetate isobutyrate hybrid depot for osteogenesis in vitro and in vivo
Authors: Meng Di , Song Jinlin , Yi Yin , Li Jihong , Zhang Ting , Shu Yu , Wu Xiaohong 
Published: January 2023

Introduction: A common problem in bone tissue engineering is that the burst release of active osteogenic factors is not beneficial for osteogenesis. This study aimed to prepare naringin (Ng) liposomes to reduce the burst release of Ng and improve new bone formation.Methods: We synthesized Ng liposomes using the thin-film hydration method. Drug-encapsulation efficacy experiments were conducted using the ultracentrifugation technique. The morphology and size distributions of freezedried liposomes were determined by transmission electron microscopy and dynamic light scattering. The Ng liposomes and Ng-lipo/sucrose acetate isobutyrate (SAIB) depots were characterized using Fourier transform infrared spectroscopy and in vitro release studies. After implantation of the Ng-lipo/SAIB depots, in vitro osteoblast-liposome interactions and in vivo osteogenesis were tested.Results: The formulation of freeze-dried Ng liposomes via an optimized recipe yielded nanosized (136.9 nm) negatively charged particles with a high encapsulation efficiency (~76.3%). Their chemical structure did not change after adding SAIB to the Ng liposomes. The burst release was reduced dramatically from 74.4% to 23.7%. In vivo, after 8 weeks, the new bone formation rate in the calvarial defects of Sprague-Dawley rats receiving Ng-lipo/SAIB was 57% compared with 25.18% in the control group (p = .0003).Discussion: Our results suggested that Ng-lipo/SAIB hybrid depots could serve as candidate materials for drug delivery in bone regeneration applications.
Listening to what the system tells us: Innovative auditing for distributed systems
Authors: Di Pilla Piergiuseppe , Pareschi Remo , Salzano Francesco , Zappone Federico 
Published: January 2023

IntroductionIn recent years, software ecosystems have become more complex with the proliferation of distributed systems such as blockchains and distributed ledgers. Effective management of these systems requires constant monitoring to identify any potential malfunctions, anomalies, vulnerabilities, or attacks. Traditional log auditing methods can effectively monitor the health of conventional systems. Yet, they run short of handling the higher levels of complexity of distributed systems. This study aims to propose an innovative architecture for system auditing that can effectively manage the complexity of distributed systems using advanced data analytics, natural language processing, and artificial intelligence.MethodsTo develop this architecture, we considered the unique characteristics of distributed systems and the various signals that may arise within them. We also felt the need for flexibility to capture these signals effectively. The resulting architecture utilizes advanced data analytics, natural language processing, and artificial intelligence to analyze and interpret the various signals emitted by the system.ResultsWe have implemented this architecture in the DELTA (Distributed Elastic Log Text Analyzer) auditing tool and applied it to the Hyperledger Fabric platform, a widely used implementation of private blockchains.DiscussionThe proposed architecture for system auditing can effectively handle the complexity of distributed systems, and the DELTA tool provides a practical implementation of this approach. Further research could explore this approach's potential applications and effectiveness in other distributed systems.
Impact of genetically predicted atrial fibrillation on cancer risks: A large cardio-oncology Mendelian randomization study using UK biobank
Authors: Li Wenjie , Huang Mingkai , Wang Rong , Wang Wei 
Published: January 2023

BackgroundIncreasing incidences of both atrial fibrillation (AF) and cancer have been observed in recent years. However, the casual association of both serious conditions has been scarcely evaluated and is considered to be a blank slate in cardio-oncology. Thus, we introduced Mendelian randomization (MR) methods to estimate the effects of AF on cancer risks.MethodsWe performed univariable and multivariable two-sample MR analyses to evaluate the effects of AF on the risk of 19 site-specific types of cancer. This MR study was conducted based on 111 independent AF-associated genetic instruments from genome-wide association studies and summarized-level data from corresponding cancer consortia. Multiple sensitivity analyses, including the leave-one-out analysis, MR-Egger regression, and MR-PRESSO tests, were further performed to examine the potential directional pleiotropic effects. Functional annotation was performed for common differentially expressed genes of AF and prostate cancer (PCA).ResultsA total of 6,777,155 European-descent people, including 533,725 cases and 6,243,430 controls, were included in the present MR analysis. Univariable MR analyses demonstrated a causal effect of AF on the incidence of PCA [odds ratio (OR): 0.96; 95% confidence interval (CI) 0.92–0.99, p = 0.01], and the causal effect remained significant (OR: 0.65; 95% CI 0.47–0.90, p = 0.01) after adjusting for potential confounders through the multivariable MR approach. However, no casual associations between AF and the other 18 site-specific cancer risks were observed (all p-values were &gt; 0.05). The consistency of outcomes across complementary sensitivity MR methods further supported the causality. The functional analysis emphasized the essential role of antioxidant and xenobiotic catabolic processes in AF and PCA.ConclusionContrary to the findings of several previous observational studies, our comprehensive MR analyses did not corroborate a causal role for AF in increasing the risk of various types of cancer. They did, however, demonstrate that AF may decrease the risk of PCA. Studies from larger sample sizes and individuals with different ethnic backgrounds are required to further support our conclusions.
Drug repurposing screening validated by experimental assays identifies two clinical drugs targeting SARS-CoV-2 main protease
Authors: Prada Gori Denis N. , Ruatta Santiago , Fló Martín , Alberca Lucas N. , Bellera Carolina L. , Park Soonju , Heo Jinyeong , Lee Honggun , Park Kyu-Ho Paul , Pritsch Otto , Shum David , Comini Marcelo A. , Talevi Alan 
Published: January 2023

The COVID-19 pandemic prompted several drug repositioning initiatives with the aim to rapidly deliver pharmacological candidates able to reduce SARS-CoV-2 dissemination and mortality. A major issue shared by many of the in silico studies addressing the discovery of compounds or drugs targeting SARS-CoV-2 molecules is that they lacked experimental validation of the results. Here we present a computer-aided drug-repositioning campaign against the indispensable SARS-CoV-2 main protease (MPro or 3CLPro) that involved the development of ligand-based ensemble models and the experimental testing of a small subset of the identified hits. The search method explored random subspaces of molecular descriptors to obtain linear classifiers. The best models were then combined by selective ensemble learning to improve their predictive power. Both the individual models and the ensembles were validated by retrospective screening, and later used to screen the DrugBank, Drug Repurposing Hub and Sweetlead libraries for potential inhibitors of MPro. From the 4 in silico hits assayed, atpenin and tinostamustine inhibited MPro (IC50 1 µM and 4 μM, respectively) but not the papain-like protease of SARS-CoV-2 (drugs tested at 25 μM). Preliminary kinetic characterization suggests that tinostamustine and atpenin inhibit MPro by an irreversible and acompetitive mechanisms, respectively. Both drugs failed to inhibit the proliferation of SARS-CoV-2 in VERO cells. The virtual screening method reported here may be a powerful tool to further extent the identification of novel MPro inhibitors. Furthermore, the confirmed MPro hits may be subjected to optimization or retrospective search strategies to improve their molecular target and anti-viral potency.
Contrasting changes of snow cover between different regions of the Tibetan Plateau during the latest 21 years
Authors: Gao Yang , Dong Huaiwei , Dai Yufeng , Mou Naixia , Wei Wenfan 
Published: January 2023

The spatial and temporal resolutions of snow remote sensing data have been increasing, but the unique snow characteristics such as thin snow depth and high frequency of change on the Tibetan Plateau have limited their applicability in this region. In this study, five commonly used snow remote sensing data were evaluated based on snow observations at 139 stations during the latest 20 years, and the advantages of each data were integrated to develop a multi-source data fusion snow cover dataset for the Tibetan Plateau. Based on these data, we conducted snow zonation and comparative snow variability analysis on the Tibetan Plateau. The results indicated that the snow cover days on the Tibetan Plateau are not only influenced by the longest snow cover duration (SCD) but also controlled by the short-term snow cycles. More than 70% of the annual snow cover days come from short-term snow cycles, except the Amu Darya and Indus. From 2000 to 2021, 23.0% of the plateau has experienced a significant decrease in snow cover days (mainly in the southeast) and 4.9% has experienced a significant increase (mainly in the northwest). As the altitude increases, the area and magnitude of the decreased and increased snow cover increases, and at high altitude the areas with increased snow are greater than that with decreased. The significant reduction in the snow cover days over large areas of the plateau stems from the superimposed effect of the simultaneous reductions in the longest SCD and the short-term snow cycles, but the reduction in the Amu Darya and Indus comes mainly from the reduction in the short-term snow cycle. The significant increase in the snow cover days in the Amu Darya, Indus, Tarim, and Hexi mainly comes from the increase in the longest SCD, while that in the Yellow River and Qaidam mainly comes from the increase in the short-term snow cycles. This contrasting change in the snowpack on the Tibetan Plateau, which decreases in the southeast and increases in the northwest, with a large decrease at lower elevations and an increase at higher elevations, will bring new challenges to water resource management in the region.
The total mass and spatial–temporal variability of aerial cryosphere over the Tibetan Plateau from 2003 to 2020
Authors: Yang Yifan , Dou Tingfeng , Xu Gaojie , Xiao Cunde 
Published: January 2023

Changes in snow, ice, and ecological system over the Tibetan Plateau (TP) are extremely sensitive to local precipitation and radiation budget, which are largely modulated by the atmospheric ice. However, how much ice is there in the atmosphere over the TP and how it is distributed are still unclear. The total mass, spatial distributions, and long-term trends of atmospheric ice over the TP were evaluated by using four sets of satellite retrieval data (Aqua, Terra, the Suomi National Polar-orbiting Partnership (Suomi NPP), and NOAA-20) and ERA5 reanalysis data from 2003 to 2020. Based on the estimations using multiple satellite datasets, we concluded that the total mass of atmospheric ice could be up to 0.26±0.03 Gt over the TP from 2013 to 2020. The spatial distributions of atmospheric ice derived from various datasets were highly consistent. In general, the southwest and northeast areas of the TP were the low-concentration areas (0.05 kg/m2 in average), while the southeast area was the high-concentration area (0.09 kg/m2 in average), and this spatial pattern was most evident in summer. The high values around (0.15 kg/m2) were centered over Linzhi and its surrounding areas. The plentiful water vapor transported by southwest summer monsoon and steep topography jointly led to rapid growth of atmospheric ice in Southeast Tibet, which was the dominant reason for the higher ice concentration in this area.
Chronic physical exercise alleviates stress-associated amygdala metabolic activity in obese women: A prospective serial 18F-FDG PET/CT study
Authors: Pahk Kisoo , Joung Chanmin , Kwon Hyun Woo , Kim Sungeun 
Published: January 2023

BackgroundPsychological stress is considered as a major risk factor for cardiovascular disease (CVD). Chronic exercise is known to reduce CVD risk partly through attenuating psychological stress. Obesity has been linked with increased levels of psychological stress. We aimed to prospectively evaluate whether physical exercise could alleviate stress-associated amygdala metabolic activity, assessed by 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in women with obesity.Material and methodsA total of 43 participants were enrolled in this study. Twenty-three obese women were participated in a physical exercise program 5 days per week for 3 months. The exercise program consisted of aerobic exercise and resistance training. Serial 18F-FDG PET/CT was taken before the start of physical exercise program (baseline) and after finishing the program (post-exercise). A total of 20 participants who underwent 18F-FDG PET/CT for general health check-up were enrolled as non-obese control group. Brain amygdala activity (AmygA) was calculated as maximum standardized uptake value (SUVmax) of amygdala normalized to mean SUV of temporal lobe.ResultsChronic physical exercise significantly reduced AmygA and improved body adiposity and systemic inflammation. AmygA was highest in baseline, intermediate in post-exercise, and lowest in non-obese control group (0.76 ± 0.17, 0.61 ± 0.1, 0.52 ± 0.09, p &lt; 0.001). Furthermore, physical exercise also abrogated the association of AmygA with systemic inflammation.ConclusionsChronic physical exercise reduced stress-associated amygdala metabolic activity and broke its association with systemic inflammation in obese women. This study could explain the putative mechanism underlying the health beneficial effect of exercise on CVD via attenuation of stress neurobiology.
A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning
Authors: Wang Ziye , Xu Chan , Liu Wencai , Zhang Meiying , Zou Jian’an , Shao Mingfeng , Feng Xiaowei , Yang Qinwen , Li Wenle , Shi Xiue , Zang Guangxi , Yin Chengliang 
Published: January 2023

BackgroundRenal cell carcinoma (RCC) is a highly metastatic urological cancer. RCC with liver metastasis (LM) carries a dismal prognosis. The objective of this study is to develop a machine learning (ML) model that predicts the risk of RCC with LM, which is used to assist clinical treatment.MethodsThe retrospective study data of 42,547 patients with RCC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. ML includes algorithmic methods and is a fast-rising field that has been widely used in the biomedical field. Logistic regression (LR), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB), random forest (RF), decision tree (DT), and naive Bayesian model [Naive Bayes Classifier (NBC)] were applied to develop prediction models to predict the risk of RCC with LM. The six models were 10-fold cross-validated, and the best-performing model was selected based on the area under the curve (AUC) value. A web online calculator was constructed based on the best ML model.ResultsBone metastasis, lung metastasis, grade, T stage, N stage, and tumor size were independent risk factors for the development of RCC with LM by multivariate regression analysis. In addition, the correlation of the relative proportions of the six clinical variables was shown by a heat map. In the prediction models of RCC with LM, the mean AUC of the XGB model among the six ML algorithms was 0.947. Based on the XGB model, the web calculator (https://share.streamlit.io/liuwencai4/renal_liver/main/renal_liver.py) was developed to evaluate the risk of RCC with LM.ConclusionsThis XGB model has the best predictive effect on RCC with LM. The web calculator constructed based on the XGB model has great potential for clinicians to make clinical decisions and improve the prognosis of RCC patients with LM.