bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intervención educativa para la prevención del cáncer bucal en adultos mayores
Authors: Tejeda Ramos Indira , Páez Muñiz Xavier , Espasandín González Suleydis , Frómeta Díaz Leticia , Velasteguí López Luis Efraín 
Published: September 2024

Introducción: El cáncer constituye un problema de salud para el hombre que se incrementa proporcionalmente al envejecimiento poblacional. Objetivo: Diseñar y aplicar un programa de intervención educativa sobre prevención del cáncer bucal en adultos mayores institucionalizados. Método: Investigación de desarrollo cuasi- experimental, de intervención, antes y después sin grupo control a 32 adultos mayores de la Casa de abuelos de Güines que cumplieron los criterios de inclusión, de noviembre del 2022 a noviembre del 2023. Se aplicó una encuesta de conocimientos sobre prevención del cáncer bucal antes y después de la intervención educativa. Resultados: Inicialmente el 78,1 % poseían un nivel de conocimiento inadecuado. Post-intervención se elevó al 93,8 % adecuado. Conclusiones: Se elevó significativamente el conocimiento sobre prevención del cáncer bucal en los adultos mayores después de aplicada la intervención educativa con el uso de las técnicas afectivo-participativas y medios de enseñanza.
Desain Maximum Power Point Tracking (MPPT) pada Topologi DC-DC Boost Converter Sistem Fotovoltaik
Authors: Pradani Erlillah Rizqi Kusuma 
Published: September 2024

Photovoltaic system (PV) merupakan sistem yang mengkonversi energi cahaya matahari langsung menjadi energi listrik menggunakan teknologi sel-sel photovoltaic (PV cells) yang terdapat dalam panel surya. Dengan memanfaatkan sinar matahari sebagai sumber energi utama, PV system dapat membantu mengurangi emisi gas rumah kaca dan polusi udara yang dihasilkan oleh pembangkit listrik konvensional berbasis bahan bakar fosil. Photovoltaic system akan dirancang dan didukung dengan menggunakan beberapa komponen utama yang terdiri dari: Panel surya, Inverter, Charge controller yang didalamnya menggunakan rangkaian Dc – Dc Boost Converter, serta battery bank. Metode perhitungan MPPT (maximum Power Point Tracking) pada system ini digunakan untuk mengoptimalkan kinerja panel surya dengan memaksimalkan daya yang dihasilkan oleh panel surya pada setiap kondisi cahaya matahari yang berbeda. Dengan menggunakan DC-DC Boost Converter pada PV, efisiensi sistem panel surya dapat ditingkatkan karena daya yang dihasilkan dapat dioptimalkan dan disesuaikan dengan kebutuhan sistem penggunaan atau penyimpanan energi yang terkait. Dari penelitian ini rangkaian boost converter menghasilkan sebuah rancangan berupa Vin = 8 volt sampai dengan 13 volt, Vout = 12 volt sampai 13.5 volt. Pengisian Battery dengan spesifikasi 12 volt 6 AH memerlukan waktu pegisian kurag lebih 8. Pada sistem ini didapat waktu yang lebih cepat dalam pengisian battery dibandingkan dengan pengisian langsung tanpa adanya charge controller.
UJI ANTIBAKTERI SERBUK JAHE MERAH (Zingiber officinale van rubrum rhizoma) TERHADAP DAYA HAMBAT PERTUMBUHAN BAKTERI Escherichia coli SECARA IN VITRO
Authors: Fadila Aulia , S.Si, M.Kes Faisal , Syauqi Ahmad 
Published: September 2024

Antibiotic resistance occurs when Escherichia coli bacteria develop genes that make them resistant to antibiotics. For this reason, research continues to look for new antimicrobial alternatives, including from vegetable sources such as red ginger (Zingiber officinale var rubrum). This research aims to identify the antibacterial ability of red ginger powder to inhibit the growth of Escherichia coli bacteria in vitro. The research was carried out using quantitative experimental methods using Nutrient Agar Media with varying concentrations of 10%, 15%, 20%, and control. The study results show that there is an inhibition zone with a certain diameter which shows the antimicrobial effect of red ginger against Escherichia coli Key words: Antibacterial, inhibitory power, red ginger, Escherichia coliABSTRAKAntibiotik resistensi terjadi ketika bakteri Escherichia coli mengembangkan gen yang membuat mereka tahan terhadap antibiotik. Untuk itu, penelitian terus mencari alternatif antimikroba baru, termasuk dari sumber nabati seperti jahe merah (Zingiber officinale var rubrum). Penelitian ini bertujuan untuk mengidentifikasi kemampuan antibakteri serbuk jahe merah dalam menghambat pertumbuhan bakteri Escherichia coli secara in vitro. Penelitian dilakukan dengan metode eksperimental kuantitatif menggunakan Media Nutrien Agar dengan variasi konsentrasi 10%, 15%, 20%, dan kontrol. Hasil studi menunjukkan adanya zona hambat dengan diameter tertentu yang menunjukkan efek antimikroba dari jahe merah terhadap Escherichia coli Kata kunci: Antibakteri, daya hambat, jahe merah, Escherichia coli
Prevalence of internet addiction and associated factors among university students in Ethiopia: systematic review and meta-analysis
Authors: Atalay Yibeltal Assefa 
Published: September 2024

IntroductionInternet addiction refers to the excessive and uncontrolled utilization of the Internet, which disrupts one's daily activities. The current state of knowledge regarding internet addiction in Ethiopia is limited. Consequently, the objective of this study is to ascertain the combined prevalence of Internet addiction and its correlated factors among university students in Ethiopia.MethodsTo identify potential research findings, an extensive literature search was conducted using electronic databases such as PubMed/MEDLINE, Web of Science, and Google Scholar. The presence of heterogeneity between studies was assessed using Cochrane Q test statistics and I2 test statistics, while the effects of small studies were examined using Eggers statistical tests at a 5% significance level. Additionally, a sensitivity analysis was carried out. A random effects model was used to estimate the pooled prevalence and associated factors of Internet addiction among students. The primary focus of this research was to determine the prevalence of Internet addiction, while the secondary aim was to identify the factors associated with Internet addiction.ResultsTo determine the overall prevalence of Internet addiction among university students in Ethiopia, a comprehensive analysis of 11 studies was conducted. The results of this study show that the pooled prevalence of Internet addiction was 43.42% (95% CI: 28.54, 58.31). The results also suggest that certain factors such as online gaming, depression, and current khat chewing are significantly associated with internet addiction among university students.ConclusionsIn Ethiopia, about one-third of university students suffer from internet addiction. The prevalence of Internet addiction among Ethiopian students is associated with online gaming, depression, and concurrent khat consumption. Therefore, we strongly recommend that health planners and policymakers prioritize monitoring and addressing Internet use and addiction in the Ethiopian context.
Schizophrenia and type 2 diabetes risk: a systematic review and meta-analysis
Authors: Dong Kai , Wang Shenghai , Qu Chunhui , Zheng Kewei , Sun Ping 
Published: September 2024

ObjectivesThe metabolic syndrome in patients with schizophrenia has consistently been a challenge for clinicians. Previous studies indicate that individuals with schizophrenia are highly prone to developing type 2 diabetes mellitus (T2DM). In recent years, a continuous stream of new observational studies has been reported, emphasizing the pressing need for clinicians to gain a more precise understanding of the association between schizophrenia and T2DM. The objective of this meta-analysis is to integrate new observational studies and further explore the potential link between schizophrenia and the risk of T2DM.MethodsWe conducted a comprehensive search of PubMed, Cochrane Library, Embase, and Web of Science using medical subject headings (MeSH) and relevant keywords. The risk of bias in cohort studies and case-control studies was assessed using the Newcastle-Ottawa Scale (NOS), while cross-sectional studies were evaluated using the Agency for Healthcare Research and Quality scale (AHRQ), scoring was based on the content of the original studies. A fixed-effects model was employed if P &gt; 0.1 and I2 ≤ 50%, indicating low heterogeneity. Conversely, a random-effects model was utilized if I2 &gt; 50%, indicating substantial heterogeneity. Publication bias was assessed using funnel plots and Egger’s test. Statistical analyses were carried out using Stata statistical software version 14.0.ResultsThis meta-analysis comprised 32 observational studies, involving a total of 2,007,168 patients with schizophrenia and 35,883,980 without schizophrenia, published from 2004 to 2023. The pooled analysis revealed a significant association between a history of schizophrenia and an increased risk of T2DM (Odds Ratio [OR] = 2.15; 95% Confidence Interval [CI]: 1.83–2.52; I2 = 98.9%, P &lt; 0.001). Stratified by gender, females with schizophrenia (OR = 2.12; 95% CI: 1.70-2.64; I2 = 90.7%, P &lt; 0.001) had a significantly higher risk of T2DM than males (OR = 1.68; 95% CI: 1.39-2.04; I2 = 91.3%, P &lt; 0.001). Regarding WHO regions, EURO (OR = 2.73; 95% CI: 2.23-3.35; I2 = 97.5%, P &lt; 0.001) exhibited a significantly higher risk of T2DM compared to WPRO (OR = 1.72; 95% CI: 1.32-2.23; I2 = 95.2%, P &lt; 0.001) and AMRO (OR = 1.82; 95% CI: 1.40-2.37; I2 = 99.1%, P &lt; 0.001). In terms of follow-up years, the &gt;20 years subgroup (OR = 3.17; 95% CI: 1.24-8.11; I2 = 99.4%, P &lt; 0.001) showed a significantly higher risk of T2DM than the 10-20 years group (OR = 2.26; 95% CI: 1.76-2.90; I2 = 98.6%, P &lt; 0.001) and &lt;10 years group (OR = 1.68; 95% CI: 1.30-2.19; I2 = 95.4%, P &lt; 0.001).ConclusionsThis meta-analysis indicates a strong association between schizophrenia and an elevated risk of developing diabetes, suggesting that schizophrenia may function as an independent risk factor for T2DM.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023465826.
Case report: Unveiling genetic and phenotypic variability in Nonketotic hyperglycinemia: an atypical early onset case associated with a novel GLRX5 variant
Authors: Marin Victor , Lebreton Louis , Guibet Claire , Mesli Samir , Redonnet-Vernhet Isabelle , Dexant Mathurin , Lamireau Delphine , Roche Sandrine , Gaschignard Margaux , Delmas Jean , Margot Henri , Bar Claire 
Published: September 2024

Nonketotic hyperglycinemia (NKH) is a rare, autosomal recessive metabolic disorder usually associated with mutations in genes AMT, GLDC or GCSH involved in the glycine cleavage complex. Other genes have been linked with less severe NKH, associated with deficiency of lipoate cofactor such as GLRX5, LIAS, BOLA3. We identified a new case of GLRX5-mediated NKH who presented at 2-month with severe developmental delay and seizures. The initial suspicion was raised by the MRI and then confirmed by glycine measurements in cerebrospinal fluid and blood. Genetic analysis revealed a previously undescribed homozygous variant in the GLRX5 gene [NM_016417.3:c.367G&gt;C; p. (Asp123His)]. Despite medication and supportive care, he died at the age of 4 months after a sudden neurological deterioration. It was decided to limit therapeutic interventions due to the severity of the prognosis. The case was more severe than the previous GLRX5-mediated NKH described, regarding the early age at onset and the severity. Moreover, the genetic variant was located at a potentially crucial site for glutathione binding in the GLRX5 protein. This report, thereby, expands our understanding of NKH’s genetic underpinnings and phenotypic variability, highlighting the crucial role of GLRX5 and other related genes in variant NKH.
Clinical significance of T helper cell subsets in the peripheral blood and bone marrow of patients with multiple myeloma
Authors: Zhang Liangjun , Zhong Huixiu , Fan Jiwen , Mao Jiansen , Li Yi 
Published: September 2024

BackgroundT helper (Th) cell subsets primarily assist B cells in differentiating into plasma cells in the germinal center. The mechanism of malignant transformation of plasma cells is an important target for the clinical treatment of MM; however, the mechanism remains unclear.MethodsWe collected the peripheral blood (PB) and bone marrow (BM) samples of 33 patients with MM. In addition, the PB was also collected from 25 normal healthy controls (HCs). We analyzed the percentages of Th cell subsets in the PB and BM samples of patients with MM.ResultsTfh/CD4+ were positively correlated with the proportion of myeloma cells in the BM and PB samples (r = 0.592, P = 0.002 and r = 0.510, P = 0.010 respectively), and showed a strong correlation between the BM and PB samples (r = 0.6559, P = 0.0095). In the PB samples, the percentages of Th2/CD4+ and Tfh2/Tfh cells were significantly lower in patients with MM than in HCs (P = 0.00013 and P = 0.0004, respectively), whereas the percentage of Th17/CD4+ and Tfh17/Tfh was significantly higher in newly diagnosed patients with MM than in HCs (P = 0.0037 and P = 0.03, respectively), and all these cells showed a good predictive value for MM (area under the curve [AUC] 0.781, = 0.792, = 0.837, and 0.723 respectively). In the PB samples, all subsets of PD-1+ICOS- Tfh showed a noticeable downward trend in MM from newly diagnosed to non-remission and remission groups. In contrast, all subsets of PD-1-ICOS+ Tfh increased gradually.ConclusionTh cell subsets play an important role in the occurrence and development of MM and may provide a fundamental basis for identifying new immunotherapy targets and prognosis.
Single-cell RNA sequencing reveals the communications between tumor microenvironment components and tumor metastasis in osteosarcoma
Authors: Li Jiatong , Bai Yang , Zhang He , Chen Ting , Shang Guanning 
Published: September 2024

IntroductionOsteosarcoma is a common type of bone cancer characterized by a poor prognosis due to its metastatic nature. The tumor microenvironment (TME) plays a critical role in tumor metastasis and therapy response. Therefore, our study aims to explore the metastatic mechanism of osteosarcoma, potentially opening new avenues for cancer treatment.MethodsIn this study, we collected data from the GSE152048, GSE14359, and GSE49003 datasets. Differentially expressed genes (DEGs) were identified in osteosarcoma cases with primary and metastatic features using R software and the limma package. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to investigate metastasis-related genes. A protein–protein interaction (PPI) network was established using the STRING database to further analyze these metastasis-associated genes. The abundances of different cell types with a mixed cell population were estimated using the CIBERSORT approach. The scRNA-seq data were analyzed by the Seurat package in R software, and intercellular communications were elucidated using the CellChat R package.ResultsIn this study, 92 DEGs related to metastasis were identified, including 41 upregulated and 51 downregulated genes in both the GSE14359 and GSE49003 datasets. Metastasis-associated pathways were identified, including those involving the cyclin-dependent protein kinase holoenzyme complex, transferase complex, transferring phosphorus-containing groups, SCF ubiquitin ligase complex, and the serine/threonine protein kinase complex. KEGG and PPI network analyses revealed 15 hub genes, including Skp2, KIF20A, CCNF, TROAP, PHB, CKS1B, MCM3, CCNA2, TRIP13, CENPM, Hsp90AB1, JUN, CKS2, TK1, and KIF4A. Skp2 has been known as an E3 ubiquitin ligase involved in osteosarcoma progression. The proportion of CD8+ T cells was found to be higher in metastatic osteosarcoma tissues, and high expression of PHB was associated with a favorable prognosis in osteosarcoma patients. Additionally, 23 cell clusters were classified into eight cell types, including chondrocytes, MSC, T cells, monocytes, tissue stem cells, neurons, endothelial cells, and macrophages. The 15 hub genes were expressed across various cell types, and interactions between different cell types were observed.ConclusionOur study reveals the intricate communication between tumor microenvironment components and tumor metastasis in osteosarcoma.
Variable screening and model construction for prognosis of elderly patients with lower-grade gliomas based on LASSO-Cox regression: a population-based cohort study
Authors: Niu Xiaodong , Chang Tao , Zhang Yuekang , Liu Yanhui , Yang Yuan , Mao Qing 
Published: September 2024

BackgroundThis study aimed to identify prognostic factors for survival and develop a prognostic nomogram to predict the survival probability of elderly patients with lower-grade gliomas (LGGs).MethodsElderly patients with histologically confirmed LGG were recruited from the Surveillance, Epidemiology, and End Results (SEER) database. These individuals were randomly allocated to the training and validation cohorts at a 2:1 ratio. First, Kaplan−Meier survival analysis and subgroup analysis were performed. Second, variable screening of all 13 variables and a comparison of predictive models based on full Cox regression and LASSO-Cox regression analyses were performed, and the key variables in the optimal model were selected to construct prognostic nomograms for OS and CSS. Finally, a risk stratification system and a web-based dynamic nomogram were constructed.ResultsA total of 2307 elderly patients included 1220 males and 1087 females, with a median age of 72 years and a mean age of 73.30 ± 6.22 years. Among them, 520 patients (22.5%) had Grade 2 gliomas, and 1787 (77.5%) had Grade 3 gliomas. Multivariate Cox regression analysis revealed four independent prognostic factors (age, WHO grade, surgery, and chemotherapy) that were used to construct the full Cox model. In addition, LASSO-Cox regression analysis revealed five prognostic factors (age, WHO grade, surgery, radiotherapy, and chemotherapy), and a LASSO model was constructed. A comparison of the two models revealed that the LASSO model with five variables had better predictive performance than the full Cox model with four variables. Ultimately, five key variables based on LASSO-Cox regression were utilized to develop prognostic nomograms for predicting the 1-, 2-, and 5-year OS and CSS rates. The nomograms exhibited relatively good predictive ability and clinical utility. Moreover, the risk stratification system based on the nomograms effectively divided patients into low-risk and high-risk subgroups.ConclusionVariable screening based on LASSO-Cox regression was used to determine the optimal prediction model in this study. Prognostic nomograms could serve as practical tools for predicting survival probabilities, categorizing these patients into different mortality risk subgroups, and developing personalized decision-making strategies for elderly patients with LGGs. Moreover, the web-based dynamic nomogram could facilitate its use in the clinic.
Detecting offshore wind farm-induced wind wake signatures on sea surface using MODIS data
Authors: Yu Weiye , Guo Pu , Du Jianting , Lian Zhan 
Published: September 2024

IntroductionOffshore wind farms (OWFs) generate extensive wind wakes in their leeward areas, which can induce marine upwelling and downwelling. These processes significantly affect marine stratification and ecosystems, leaving detectable patterns on the sea surface.Materials and MethodsBy utilizing MODIS data, we analyzed six representative OWFs worldwide to identify these wake signatures.ResultNotably, we observed pronounced signatures near an OWF located in the coastal waters of Jiangsu Province, China. Conversely, no coherent wake signatures were detected at other selected European and Chinese OWFs.DiscussionThis absence may be attributed to inactive upwelling, weak marine stratification, unsteady wind directions, and land-sea distribution. This research offers a fresh perspective on the environmental impacts of OWFs and, for the first time, underscores the potential of global gridded satellite dataset in detecting OWF-induced wind wake signatures.
Bacterial dynamics in the progression of caries to apical periodontitis in primary teeth of children with severe early childhood caries
Authors: Lin Bichen , Wang Jinfeng , Zhang Yifei 
Published: September 2024

BackgroundEarly childhood caries (ECC) are a prevalent chronic disease in young children. However, there has been limited research on the microbiota in different tissue levels of the same tooth in children with ECC. This study aimed to investigate the dynamic changes in bacterial diversity during the progression of Severe Early Childhood Caries (S-ECC) within the same tooth, from the tooth surface to the root canal, by collecting tissue samples from different areas of the affected tooth.MethodsTwenty primary teeth with periapical periodontitis were selected from 20 children aged 3–5 years, with 100 samples collected from the different layers: uncavitated buccal enamel surface without white spot lesion (surface), the outermost layer of the dentin carious lesion (superficial), the inner layer of carious dentin (deep), necrotic pulp tissue (pulp), and root exudate (exudate). The taxonomy of each OTU representative sequence was analyzed against the 16S rRNA database. Comparisons of alpha diversity between groups were performed. The number of shared and unique genera between groups counted. Beta diversity was contrasted to evaluate differences in bacterial community composition, and the relationships between the microbiota and samples were analyzed. The heatmap analysis of the 30 most abundant genera was used, which highlighted their relative distribution and abundance. The significantly abundant taxa (phylum to genera) of bacteria among the different groups were identified. The differences of relative abundance between bacterial genera among the five groups were analyzed. Significant Spearman correlations were noted, and visualization of the co-occurrence network was conducted.ResultsBacterial 16S rRNA gene sequencing showed that most genera were present in all layers, with the number of shared genera increasing as the disease advanced. The bacterial communities and core genera in the co-occurrence network changed with progression to severe ECC.ConclusionAn increase in both the quantity and complexity of bacterial interactions was observed. This study emphasized the importance of paying attention to the relationship between microbial species rather than just checking changes in bacterial species structure when investigating the role of bacteria in disease progression.