bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perbandingan analisis sentimen pada aplikasi SIREKAP dengan aplikasi SITUNG di media sosial X menggunakan algoritma Support Vector Machine
Authors: Taufik Akbar  , Rahmi Imanda  
Published: October 2024

Indonesia adalah negara yang menganut sistem demokrasi, yang mana untuk pemilihan pemimpin negara harus melalui PEMILU. Sampai saat ini KPU sudah membuat 2 aplikasi untuk membantu dalam PEMILU yaitu Sistem Informasi Pemilihan Suara (SITUNG) dan Sistem Informasi Rekapitulasi Elektronik (SIREKAP). Namun ternyata pelaksanaan pemilu dengan kedua aplikasi ini menimbulkan berbagai macam sentimen dari masyarakat. Penelitian ini bertujuan untuk mengetahui sentimen masyarakat terhadap SITUNG dan SIREKAP serta apakah jumlah sentimen negatif SIREKAP lebih banyak daripada SITUNG. Penelitian ini mengambil data dari media sosial X dan menggunakan SVM untuk implementasi algoritma. Jumlah sentimen yang digunakan untuk SITUNG sebanyak 1469 yang terdiri dari 832 sentimen positif serta 637 sentimen negatif, lalu untuk SIREKAP sebanyak 1897 yang terdiri dari 1092 sentimen positif dan 805 sentimen negatif. Hasil nilai precision, recall dan f1-score pada SITUNG sekitar 70%, 69%, 69% sedangkan SIREKAP sekitar 67%, 66%, 66%.
Representasi Model 3D Artefak Menggunakan Metode Structure From Motion Berbasis Fotogrametri Di Museum Ranggawarsita Semarang
Authors: Zaman Badroe , Rachmawati Eka Putri , Asmiatun Siti 
Published: October 2024

Berkembangnya industri kreatif digital tumbuh dengan sangat pesat, pemanfaatan teknologi informasi menjadi pilihan salah satunya yakni teknologi representasi tiga dimensi (3D). Teknologi representasi 3D mendorong inovasi di berbagai sektor seperti realitas virtual, pembuatan film, video game, survei geospasial, arsitektur, dan arkeologi. Pemodelan 3D benda bersejarah menjadi perhatian dalam beberapa tahun terakhir. Representasi model 3D dari artefak merupakan upaya dokumentasi digital jika benda tersebut mengalami kerusakan. Salah satu metode dalam representasi model 3D yaitu dengan menggunakan metode Structure from Motion (SfM) berbasis fotogrametri. Metode Structure from Motion (SfM) berbasis fotogrametri merupakan tahapan pembuatan model 3D dari beberapa gambar artefak yang ditangkap oleh kamera smartphone kemudian diolah menjadi objek 3D dari suatu perangkat lunak. Objek berupa foto pada penelitian ini diambil langsung dari beberapa sudut pandang pengambilan gambar di museum Ranggawarsita. Hasil model 3D dalam penelitian ini dapat dimanfaatkan sebagai aset digital untuk berbagai keperluan sepertinya halnya media edukasi benda bersejarah.
Disponibilidade de fósforo no solo em semanas sob diferentes fontes
Authors: Franco Júnior Kleso Silva , Dias Márcio de Souza , Ribeiro Vinícius Muniz 
Published: October 2024

Objetivou-se com este trabalho avaliar a disponibilidade de fósforo no milho ao longo de 8 semanas na camada de 10-20 cm do solo. O experimento foi conduzido em uma propriedade rural em Paraguaçu/MG, onde o solo foi preparado e a semeadura do milho (Híbrido Brevant B2401PWU) realizada em 02/03/2024, com aplicação de três diferentes fontes de fósforo: Fosbio®BR24, Fosfato natural, e Mono Amônio Fosfato (MAP), além de dois controles (com e sem milho). O delineamento experimental foi em blocos casualizados com quatro repetições e arranjo fatorial 3x2. As análises de solo ocorreram semanalmente, com 10 subamostras por parcela. A presença de milho teve um impacto variável na disponibilidade de P, dependendo da fonte utilizada. Fosfato natural foi mais afetado pela presença do milho, enquanto Fosbio®BR e MAP mantiveram os níveis de P mais constantes. Fosbio®BR e MAP foram eficazes na manutenção da disponibilidade de P, independentemente da presença de milho, indicando que são fontes confiáveis de P para o solo. Por outro lado, o fosfato natural, foi mais sensível às condições do solo e à presença de milho. As flutuações na disponibilidade de P sugerem que a dinâmica de liberação de fósforo é influenciada por vários fatores, o tipo de fertilizante, a presença de culturas e possivelmente outras condições ambientais, sendo importante considerar a interação entre a fonte de fósforo e o cultivo ao planejar a adubação do solo, pois a escolha adequada do fertilizante pode influenciar significativamente a disponibilidade de nutrientes essenciais, como o fósforo, ao longo do tempo.
Clinical outcomes of right ventricular outflow tract stenting compared to surgical shunting in late-presenting children
Authors: Prakoso Radityo , Citra Dewi Resi , Mendel Brian , Atmadikoesoemah Celly Anantaria , Purba Salomo , Sakti Damba Dwisepto Aulia , Iryuza Nanda , Kurniawati Yovi , Sukmawan Renan 
Published: October 2024

BackgroundRight ventricular outflow tract (RVOT) stenting as an alternative palliation for patients with stenotic RVOTs is increasingly recognized. However, a notable gap remains in the literature regarding the efficacy and the comparative outcomes between RVOT stenting and the modified Blalock-Taussig shunt (mBTS) in children older than one year.MethodsWe conducted a retrospective review of clinical data from patients aged one year to 18 years with stenotic RVOTs who underwent RVOT stenting or mBTS procedures at our institution between December 2019 and October 2022. We compared major adverse cardiovascular events (MACE) including re-hospitalization, re-intervention, and mortality, hospital and ICU length of stay, and discharge oxygen saturation between the groups.ResultsWe identified 58 patients (51.7% male) with a median age of 2.6 years (IQR: 2–8.1) and a median weight of 9.7 kg (IQR: 7.5–17.5). Among them, 18 (31%) patients received RVOT stenting, and 40 (68.9%) patients had mBTS. The median age for the RVOT stenting group was 92.5 months (IQR: 31.2–152) compared to 26.5 months (IQR: 23.0–54.0) for the mBTS group (p = 0.218). MACEs occurred in 4 (22.2%) patients with RVOT stents and 8 (20%) patients with mBTS (p = 0.624). Patients with mBTS had a longer ICU stay (median 3.5 days, IQR, 2–5) compared to those with RVOT stents (median 2 days, IQR: 1–2) (p = 0.295). Conversely, the hospital stay for patients with mBTS was shorter (median 10 days, IQR, 7.5–13.7) than for those with RVOT stents (median 11.5 days, IQR, 7–19) (p = 0.045). The median discharge oxygen saturation was 87% (IQR: 83–88) in the mBTS group and 80% (IQR: 75–87) in the RVOT stenting group (p = 0.212).ConclusionsRVOT stenting as palliation to stenotic RVOTs in children older than one year demonstrated outcomes comparable to mBTS in terms of MACE and achieving oxygen saturation targets.
Remote monitoring and teleconsultations can reduce greenhouse gas emissions while maintaining quality of care in cystic fibrosis
Authors: Oppelaar Martinus C. , Bannier Michiel A. G. E. , Reijers Monique H. E. , van der Vaart Hester , van der Meer Renske , Altenburg Josje , Conemans Lennart , Rottier Bart L. , Nuijsink Marianne , van den Wijngaart Lara S. , Merkus Peter J. F. M. , Roukema Jolt 
Published: October 2024

BackgroundRemote care usefulness and climate change co-benefits should be addressed simultaneously to incentivize political action.ObjectivesTo assess the changes in healthcare consumption, lung function and greenhouse gas (GHG) emissions during the COVID-19 pandemic in Dutch cystic fibrosis (CF) care.DesignRetrospective multicentre observational study in five Dutch CF centres.MethodsEighty-one participants were included. Healthcare consumption was described alongside the COVID-19 Stringency Index (2019–2022). Travel related GHG emissions were calculated for every clinic visit. Changes in percentage predicted Forced Expiratory Volume in one second (ppFEV1) were assessed using a paired-samples T-test.ResultsHealthcare consumption patterns followed COVID-19 public health measure stringency but returned back to the “old normal”. Emission of 5.450, 3 kg of carbon dioxide equivalents were avoided while quality of care was relatively preserved. ppFEV1 declined as expected (ΔMeans 3.69%, 95%CI 2.11–5.28).ConclusionRemote monitoring of lung function and symptoms and teleconsultations in CF can reduce GHG emissions while maintaining quality of care. As health sectors constitute a large share of national climate change footprints, digital health can partly alleviate this burden by reducing private travel.
Unlocking environmental harmony through export earnings: exploring the impact of remittances and infrastructure growth
Authors: Yi Xiaoming , Qamruzzaman Md 
Published: October 2024

IntroductionThis study investigates the complex relationship between economic growth, remittances (REM), export earnings (EEs), infrastructural development (IFD), and environmental sustainability (ES) in Bangladesh over the period from 1990 to 2020. Framed within the context of the Environmental Kuznets Curve (EKC) hypothesis, the research explores how these factors influence environmental outcomes and contributes to ongoing discussions on sustainable development.MethodsUtilizing advanced time-series modeling techniques, including autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL), this study applies unit root tests and co-integration analysis to examine the data. These methods allow for a detailed assessment of both short- and long-term relationships between the variables in question.ResultsThe findings confirm the EKC hypothesis, showing that economic growth initially leads to increased carbon emissions and environmental degradation, but further development contributes to environmental improvements. Remittances, however, significantly exacerbate carbon emissions and ecological degradation. On the other hand, technological innovation (TI) demonstrates a negative association with carbon emissions and ecological footprint (EF), highlighting its potential in supporting sustainable development. The impacts of export earnings and infrastructural development on environmental sustainability are mixed, with infrastructural growth in particular linked to environmental degradation.DiscussionThe study's results underscore the importance of targeted policy interventions to balance economic growth with environmental sustainability. Policymakers should focus on mitigating the environmental impacts of remittance inflows and fostering technological innovation to achieve the Sustainable Development Goals (SDGs). While export earnings and infrastructural development play critical roles in economic progress, their environmental implications require careful management to ensure long-term sustainability.
Water loss through evapotranspiration after precipitation events in bioenergy crops grown in similar climatic conditions
Authors: Postma Kevin , Mane Siddhesh , Shen Meicheng , Kussainova Maira , Beisenova Raikhan , Nanda Arunav , Dong Gang , Chen Jiquan 
Published: October 2024

The relationship between precipitation and evapotranspiration (ET) is critical to understanding water cycle related dynamics in ecosystems, including crops. Existing studies of bioenergy crops have primarily focused on annual or seasonal ET rates, with less attention given to the immediate ET response following precipitation events. This study examines the variation in ET rates in the days subsequent to precipitation events across various bioenergy crops—corn, switchgrass, and prairies—utilizing 13 years (2010–2022) of growing season data. Meteorological and eddy covariance flux data were collected from seven eddy covariance flux towers as part of the GLBRC scale-up experiment at the Kellogg Biological Station Long Term Ecological Research sites. The analysis revealed that average ET peaked the day after precipitation and declined linearly over the following days, with a statistically significant relationship (p-value = 0.00027, R2 = 0.96). Neither the type of biofuel vegetation nor the historical land use significantly influenced ET post-precipitation events (p-values = 0.53 and 0.153, respectively). Key predictors of ET following precipitation events include shortwave radiation, season, day of the year, ambient temperature, vapor pressure deficit (VPD), long-wave radiation, precipitation amount, soil moisture, and annual variability. These findings enhance our comprehension of ET responses in bioenergy crop systems, with implications for water management in sustainable agriculture.
Predicting acute lung injury in infants with congenital heart disease after cardiopulmonary bypass by gut microbiota
Authors: Jiang Lan , Cun Yueshuang , Wang Qiang , Wu Kede , Hu Menglong , Wu Zhen , Zhu Tianyi , Yang Zhaocong , Patel Nishant , Cai Xinyu , Qi Jirong , Mo Xuming 
Published: October 2024

BackgroundAcute lung injury (ALI) is a serious and common complication that occurs in children with congenital heart disease after cardiopulmonary bypass (CPB) surgery, leading to higher mortality rates and poorer prognosis. Currently, there is no reliable predictive strategy for CPB-associated lung injury (CPB-ALI) in infants. Certain characteristics of the gut microbiota could potentially serve as biomarkers for predicting the development of CPB-ALI.MethodsWe conducted 16S rRNA sequencing to analyze the characteristics of the intestinal microbiota in healthy controls and infants with CHD admitted to the hospital. The CHD infants were divided into CPB-ALI and non-ALI (CPB-NALI) groups based on postoperative outcomes. Bacterial functional pathway prediction analysis was performed using PIRCUSt2, and the gut microbiota composition associated with immune status was determined with heatmap. Random forest regression models and ROC curves were utilized to predict the occurrence of CPB-ALI.ResultsOur study revealed significantly different microbiota compositions among three groups (CON, CPB-ALI, and CPB-NALI). The microbiota diversity was low in the CPB-ALI group with high pathogen abundance and significant decrease in Bacteroides, while the opposite was observed in the CPB-NALI group. The microbiota dysbiosis index was high in the CPB-ALI group, with its dominant microbiota significantly associated with multiple metabolic pathways. Additionally, CPB-ALI patients showed high levels of inflammatory cytokines IL-8 and HMGB1 in their serum, with high expression of IL-8 being associated with Enterobacteriaceae. Further correlation analysis showed that the differences in gut bacterial taxonomy were related to the occurrence of ALI, length of stay in the cardiac care unit, and ventilation time. It is noteworthy that Escherichia Shigella performed best in distinguishing CPB-ALI patients from non-ALI patients.ConclusionsOur study suggests that postoperative ALI patients have distinct gut microbiota upon admission compared to non-ALI patients after surgery. Dysbiosis of the gut microbiota may potentially impact the progression of ALI through metabolic pathways, quorum sensing, and the levels of inflammatory factors expressed in the serum. Escherichia Shigella represents a potential predictive factor for the occurrence of ALI in CHD infants after surgery. Acute lung injury, congenital heart disease, cardiopulmonary bypass surgery, gut microbiota, biomarker
A distinct immune landscape in anti-synthetase syndrome profiled by a single-cell genomic study
Authors: Ding Jiayu , Li Yanmei , Wang Zhiqin , Han Feng , Chen Ming , Du Jun , Yang Tong , Zhang Mei , Wang Yingai , Xu Jing , Wang Gaoya , Xu Yong , Wu Xiuhua , Hao Jian , Liu Xinlei , Zhang Guangxin , Zhang Na , Sun Wenwen , Cai Zhigang , Wei Wei 
Published: October 2024

ObjectivesThe objective of this study was to profile the transcriptional profiles of peripheral blood mononuclear cells (PBMCs) and their immune repertoires affected by anti-synthetase syndrome (ASS) at the single-cell level.MethodsWe performed single-cell RNA sequencing (scRNA-seq) analysis of PBMCs and bulk RNA sequencing for patients with ASS (N=3) and patients with anti-melanoma differentiation-associated gene 5-positive dermatomyositis (MDA5+ DM, N=3) along with healthy controls (HCs, N=4). As ASS and MDA5+ DM have similar organ involvements, MDA5+ DM was used as a disease control. The immune repertoire was constructed by reusing the same scRNA-seq datasets. Importantly, flow cytometry was performed to verify the results from the scRNA-seq analysis.ResultsAfter meticulous annotation of PBMCs, we noticed a significant decrease in the proportion of mucosal-associated invariant T (MAIT) cells in ASS patients compared to HCs, while there was a notable increase in the proportion of proliferative NKT cells. Compared with MDA5+ DM patients, in their PBMCs ASS patients presented substantial enrichment of interferon pathways, which were primarily mediated by IFN-II, and displayed a weak immune response. Furthermore, ASS patients exhibited more pronounced metabolic abnormalities, which may in turn affect oxidative phosphorylation pathways. Monocytes from ASS patients appear to play a crucial role as receptive signaling cells for the TNF pathway. Immunophenotyping analysis of PBMCs from ASS patients revealed an increasing trend for the clone type CQQSYSTPWTF.ConclusionUsing single-cell genomic datasets of ASS PBMCs, we revealed a distinctive profile in the immune system of individuals with ASS, compared to that with MDA5+ DM or healthy controls.
Recurrent reproductive failure and celiac genetic susceptibility, a leading role of gluten
Authors: de la Fuente-Munoz Eduardo , Fernández-Arquero Miguel , Subbhi-Issa Nabil , Guevara-Hoyer Kissy , Suárez Lydia Pilar , Laborda Raquel Gil , Sánchez Marina , Ochoa-Grullón Juliana , Guzmán-Fulgencio María , Villegas Ángela , Mansilla María Dolores , Pérez Noelia , Cornudella Ricardo Savirón , Gastañaga-Holguera Teresa , Urrutia Marta Calvo , García Ignacio Cristóbal , Sánchez-Ramón Silvia 
Published: October 2024

IntroductionThe prevalence of gluten-related disorders, mainly celiac disease (CD) and non-celiac gluten sensitivity (NCGS), varies between 0.6% and 13% in the general population. There is controversial evidence regarding the association of both CD and NCGS with extra-digestive manifestations, including recurrent reproductive failure (RRF), which may have clinical implications.ObjectiveTo study the prevalence of HLA susceptibility alleles for CD/NCGS in a cohort of female patients with RRF from a single reference center and to evaluate the effect of a gluten-free diet on reproductive success.Material and methodsA retrospective study was conducted on 173 patients with RRF, consecutively attended at the Reproductive Immunology Unit of San Carlos University Clinical Hospital in Madrid. We collected and analyzed the clinical, analytical, and immunological profiles of RRF patients who presented HLA alleles associated with CD and NCGS (HLA DQ2.2, DQ2.5, DQ8, and DQ7.5).ResultsWe observed a significantly higher prevalence of HLA alleles associated with CD and NCGS in our RRF cohort compared to the prevalence in the general population (69% vs. 35%–40%, p&lt;0.0001). Only 2.3% of patients met the criteria for a CD diagnosis. In our RRF cohort, HLA-genetic susceptibility for CD/NCGS (HLA-risk group) was associated with a significantly higher rate of hypothyroidism compared to patients without these alleles (HLA-negative group) (48.7% vs. 26.92%, p=0.03). Patients with HLA-genetic susceptibility for CD/NCGS and thyroid disease had a significantly higher success rate in the subsequent pregnancy after management (55% vs. 30%, p=0.002). Two factors were found to be significant in this group: a gluten-free diet (p=0.019) and the use of levothyroxine (p=0.042).ConclusionsIn our cohort of RRF patients, we observed a significantly higher prevalence of HLA susceptibility genes for CD/NCGS compared to the general population, also associated with a higher incidence of thyroid alterations. A gluten-free diet and the use of levothyroxine in cases of thyroid pathology had significant beneficial effects on pregnancy outcomes. We suggest that HLA typing for CD/NCGS and a gluten-free diet, in the presence of risk alleles, can improve pregnancy outcomes in RRF patients.
Direct impact of psoriasis on gingival crevicular fluid levels of VEGF-A in periodontitis patients: a mediation analysis
Authors: Jiménez Constanza , Fernández Javier , Rodríguez Camila , Mancilla Juan Felipe , Pellegrini Elizabeth , Hernández Marcela , Valenzuela Fernando , Fernández Alejandra 
Published: October 2024

IntroductionEmerging evidence suggests that psoriasis and periodontitis are linked via systemic inflammation. However, the role of angiogenesis as an additional connecting mechanism between these diseases remains unclear.MethodsThis case control study explored the effect of psoriasis on the gingival crevicular fluid (GCF) levels of vascular endothelial growth factor A (VEGF-A) in patients with different stages of periodontitis. Thirty-one patients with psoriasis (P) and thirty healthy controls (C) underwent physical and intraoral evaluations, with diagnoses confirmed by dermatologists and periodontists. GCF VEGF-A was measured using a multiplex-bead immunoassay. Statistical analyses included Fisher exact tests, Student’s T-tests, linear regression models, and mediation analyses.ResultsPsoriasis patients had significantly lower GCF VEGF-A levels compared to controls (p=0.008). Psoriasis was negatively associated with GCF VEGF-A (p=0.006), while severe periodontitis was positively associated with GCF VEGF-A levels, regardless of tobacco use (p=0.027). Further analyses revealed that severe periodontitis significantly increased GCF VEGF-A levels only in the C group (p=0.038), but not in psoriasis patients (p&gt;0.610). Mediation analyses confirmed a significant direct and total effect of psoriasis on GCF VEGF-A (p&gt;0.002), with no significant indirect effect through periodontitis (p=0.699).DiscussionPsoriasis and severe periodontitis are associated with GCF levels of VEGF-A in opposite and independent ways. In subjects with psoriasis, the impact of the dermatosis is direct with no mediation from periodontitis.
Animal models of chronic obstructive pulmonary disease: a systematic review
Authors: Feng Tiantian , Cao Juan , Ma Xiaoting , Wang Xinhua , Guo Xiaolong , Yan Na , Fan Chunling , Bao Shisan , Fan Jingchun 
Published: October 2024

ObjectiveExperimental animal models have been used for decades to study the development and progression of chronic obstructive pulmonary disease (COPD). However, there is a lack of methods for constructing animal models of COPD for optimal modelling. This systematic literature review (SLR) aimed to assess the various methods used to establish COPD animal models, highlight their advantages and limitations, and explore more optimized approaches for establishing such models.MethodsA systematic search was performed in four English databases (PubMed, Embase, Web of Science, and the Cochrane Library) and four Chinese databases (Chinese Biomedical Literature Database, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang Database). Of the 8,015 retrieved full-text manuscripts, 453 were selected.ResultsSmoking (n = 140), smoking combined with lipopolysaccharide (LPS) (n = 275), smoking combined with protease drip (PPE) (n = 10), smoking combined with bacteria (n = 23), and smoking combined with particulate matter (PM2.5) (n = 5) were the most used methods for establishing animal models of COPD. Rats and mice were the most frequently selected experimental animals, with male animals accounting for 79.47% of the total. A total of 92.49 and 29.14% of the articles reviewed considered lung pathology of experimental animals only and lung pathology and lung function tests, respectively.ConclusionOur review suggests that the best way to establish an animal model of COPD is to combine smoking with LPS. Although findings from animal models of COPD cannot be directly extrapolated to human COPD, they could provide useful tools for further investigation into human COPD disease.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023407555, Identifier PROSPERO CRD42023407555.