bluuebunny/crossref_metadata_2025_split huggingface dataset:
IMPLEMENTASI BIM DALAM PERMODELAN 3D PEMBANGUNAN GEDUNG KANTOR CABANG BRI BATUSANGKAR MENGGUNAKAN SOFTWARE OPENBUILDINGS DESIGNER
Authors: Mainisa Mainisa , Eka Priana Surya , Zulhedi Zulhedi 
Published: June 2023

Abstrak : Perkembangan teknologi digital yang sangat cepat berdampak besar dalam percepatan pembangunan infrastruktur sehingga diperlukan suatu teknologi yang sudah terintegrasi yang di dalamnya harus berisi semua informasi yang dibutuhkan dalam proses desain, konstruksi, dan maintenance. Maka penerapan Building Information Modelling (BIM) adalah solusi dari permasalahan tersebut. Penerapan BIM sendiri perlu didukung oleh alat bantu berupa software, salah satunya OpenBuilding Designer. OpenBuilding Designer merupakan perangkat lunak yang sudah terintegrasi sehingga pekerjaan akan lebih efektif dan efisien. Penelitian ini bertujuan untuk dapat mengimplementasikan konsep BIM menggunakan Software OpenBuildings Designer, untuk mengetahui bentuk permodelan 3D dari gedung Kantor Cabang BRI Batusangkar yang berupa permodelan arsitektur, struktur, dan mekanikal. Memodelkan suatu bangunan terdapat langkah-langkah yang harus dilakukan. Dengan adanya langkah-langkah tersebut memudahkan dalam memodelkan suatu bangunan. Hasil dari penerapan BIM yang dilakukan berupa permodelan 3D arsitektur, struktur dan mekanikal. Kelebihan dari penerapan BIM yang dilakukan menggunakan Software Openbuilding Designer yaitu dapat membantu pekerjaan arsitek, insinyur, dan ahli sipil. Kekurangan BIM dalam implementasi Building Information Modeling menggunakan Software Openbuilding Designer adalah tidak dapat menggantikan profesi arsitek, insinyur, dan ahli sipil.Kata Kunci : BIM, Permodelan 3D, Openbuilding Designer
STEMI patients receiving percutaneous coronary intervention for a culprit lesion with coronary artery bifurcation—efficacy and safety of the jailed semi-inflated balloon
Authors: Lin Tzu-Hsiang , Chen Kuan-Ju , Hu Yu-Cheng , Chang Keng-Hao , Lai Chih-Hung , Liu Tsun-Jui , Lee Wen-Lieng , Su Chieh-Shou 
Published: June 2023

BackgroundWe aimed to evaluate the efficacy and safety of the ‘jailed semi-inflated balloon technique’ (JSIBT) for side branch (SB) protection in STEMI patients with a culprit lesion involving a coronary artery bifurcation while undergoing emergent percutaneous coronary intervention (PCI).MethodsWe treated between Jan, 2011 and Jun, 2020, a total of 264 STEMI patients with a culprit lesion that involved a coronary artery bifurcation using primary PCI. In 30 patients, SB was protected by JSIBT (the JSIBT group). In 234 patients, SB was either protected or not protected by a placed wire (the non-JSIBT group).ResultsIn both groups, after PCI procedure, TIMI flows of main vessel (MV) and SB were increased significantly compared with their measurements before the procedure. TIMI flows of post-procedural MV were similar between the two groups. In the JSIBT group, TIMI flows of SB both peri-procedure and post-procedure measurements were significantly greater than the non-JSIBT group. Despite a higher incidence of SB dissection in the JSIBT group, no inter-group difference was found in their total SB complications (like SB dissection, SB occlusion, wire entrapment or balloon rupture/entrapment). While JSIBT was an independent predictor for the SB TIMI 3 flow measured at the end of primary PCI, it was not an independent predictor for SB complications.ConclusionThe use of JSIBT as a method of SB protection during primary PCI not only provided better SB protection, but it also had a similar rate of SB complications compared with those with or without prior application of SB wire. This technique may be an effective method of protecting SB for STEMI patients involving coronary artery bifurcation and underwent emergent PCI.
Bullied, anxious and skipping school? the interplay of school bullying, school anxiety and school absenteeism considering gender and grade level
Authors: Schlesier Juliane , Vierbuchen Marie-Christine , Matzner Matthias 
Published: June 2023

IntroductionThe topics of bullying, school anxiety and school absenteeism are of steady interest for the scientific community in recent decades. However, it seems surprising that investigations into the combination of these constructs are rare, especially considering their interconnectedness. Due to the lack of joint investigation of these factors, it is hardly possible to compare results of these related, yet distinct factors across other studies, let alone the predictive power of specific factors. The goal of the current study is to investigate how bullying, school anxiety and school absenteeism are related, considering the variables gender and grade level.MethodsFor this purpose,N= 195 secondary school children in the 7th–9th grades in northern Germany were surveyedviaself-report questionnaires and additionally collecting their school records. We present complex descriptive analyses with scales and subscales of bullying, anxiety and absenteeism. Further, a structural equation modelling (SEM) approach is utilized to discover the interconnectedness of the constructs.ResultsOn the one hand, the descriptive statistics show significant gender and grade level differences regarding bullying and anxiety. On the other hand, the SEM reveals that high values on the bullying victim scale are accompanied by significantly higher school displeasure (anxiety). School displeasure—as well as high bullying offender values—are associated with significantly more days of absence from school.DiscussionWe discuss how school environment improvement through specific interventions such as the cognitive-behavioral approach, could aid to ameliorate this issue.
Identification of SERPINA1 promoting better prognosis in papillary thyroid carcinoma along with Hashimoto’s thyroiditis through WGCNA analysis
Authors: Zhang Yihan , Xie Xin , Zhou Hong , Li Bingxin , Ding Li , Cai Zhaogen , Song Huaidong , Zhao Shuangxia , Xu Huanbai 
Published: June 2023

BackgroundHashimoto’s thyroiditis (HT) is an autoimmune thyroid disease. Papillary thyroid carcinoma (PTC) is the most common endocrine cancer. In recent years the rate of coexistence between PTC and HT has increased but the relationship between them remains unclear, meaning it is necessary to find potential biomarkers for PTC coexistence with HT to predict its potential pathways.MethodA co-expression network was constructed using the weighted gene co-expression network analysis (WGCNA) in the R package. The modules of PTC associated with HT (PTC-W) were identified from the GSE138198 dataset. Protein-protein interaction network (PPI) was used to screen the hub genes. Immunohistochemical (IHC) analysis was performed to validate the expression of the hub genes in tissues. Clinical data from The Cancer Genome Atlas (TCGA) datasets were used to analyse the prognosis of the hub genes. Gene set enrichment analysis (GSEA) was used to screen potential pathways of PTC-W.ResultThe MEbrown module representing the most significant module, with 958 differentially expressed genes (DEGs), was screened in PTC-W, based on WGCNA analysis. Through PPI, SERPINA1 was identified as a hub gene. Immunostaining validated that SERPINA1 was highly expressed in PTC-W. Moreover, PTC-W expressing SERPINA1 exhibits a better prognosis than PTC without HT (PTC-WO).ConclusionOur study demonstrates that SERPINA1 promotes the occurrence of PTC-W, and its prognosis is better than PTC-WO. SERPINA1 promotes a better prognosis for PTC-W, possibly through a tumour inhibition signalling pathway.
Size effect of mechanical characteristics of sandstone and granite under uniaxial compression
Authors: Kong Lulin , Wu Jie , Wang Haige , Shi Xiangchao , Gao Leiyu , Zhuo Xiao , Chen Shuai 
Published: June 2023

The accurate evaluation of the mechanical properties of rocks is crucial to the design of large-scale projects, such as the construction of dams and bridges, the excavation of tunnels, and petroleum engineering research. In this study, experiments pertaining to the size effect of sandstone and granite were performed on small square samples of 10–25 mm. It was found that the elastic modulus of sandstone and granite decreases significantly with increasing size. The uniaxial compressive strength, however, follows a different trend. When the size of the sample increases from 10 to 25 mm, the uniaxial compressive strength of sandstone increases by approximately 12%. However, the strength of granite decreases by 35% as the size increases. The discrepancies in the failure of sandstone and granite are apparent, and the failure patterns of the same rock do not vary with size. Sandstone mostly suffers from split damage, whereas granite mainly suffers from shear failure. Contemporary studies have found that the mechanical properties of rocks are closely related to the sizes of the samples. However, these studies have primarily focused on the size effect of rocks, whose samples sizes were greater than 30 mm in diameter. The understanding constructs the relationship between the strength transformation of different sizes of rocks, which is of great significance for practical engineering applications.
The actions of methotrexate on endothelial cells are dependent on the shear stress-induced regulation of one carbon metabolism
Authors: Lang Marie B. , Leung Kit-Yi , Greene Nicholas D.E. , Malone Kerri M. , Saginc Gaye , Randi Anna M. , Kiprianos Allan , Maughan Robert T. , Pericleous Charis , Mason Justin C. 
Published: June 2023

ObjectivesThe disease-modifying anti-rheumatic drug methotrexate (MTX) is recognized to reduce cardiovascular risk in patients with systemic inflammatory diseases. However, the molecular basis for these cardioprotective effects remains incompletely understood. This study evaluated the actions of low-dose MTX on the vascular endothelium.MethodsHuman endothelial cells (EC) were studied under in vitro conditions relevant to inflammatory arthritis. These included culture in a pro-inflammatory microenvironment and exposure to fluid shear stress (FSS) using a parallel plate model. Respectively treated cells were analyzed by RNA sequencing and quantitative real-time PCR for gene expression, by immunoblotting for protein expression, by phosphokinase activity arrays, by flow cytometry for cell cycle analyses and by mass spectrometry to assess folate metabolite levels.ResultsIn static conditions, MTX was efficiently taken up by EC and caused cell cycle arrest concurrent with modulation of cell signaling pathways. These responses were reversed by folinic acid (FA), suggesting that OCM is a predominant target of MTX. Under FSS, MTX did not affect cell proliferation or pro-inflammatory gene expression. Exposure to FSS downregulated endothelial one carbon metabolism (OCM) as evidenced by decreased expression of key OCM genes and metabolites.ConclusionWe found that FSS significantly downregulated OCM and thereby rendered EC less susceptible to the effects of MTX treatment. The impact of shear stress on OCM suggested that MTX does not directly modulate endothelial function. The cardioprotective actions of MTX likely reflect direct actions on inflammatory cells and indirect benefit on the vascular endothelium.
Multi-year molecular quantification and ‘omics analysis of Planktothrix-specific cyanophage sequences from Sandusky Bay, Lake Erie
Authors: McKindles Katelyn M. , Manes Makayla , Neudeck Michelle , McKay Robert Michael , Bullerjahn George S. 
Published: June 2023

IntroductionPlanktothrix agardhii is a microcystin-producing cyanobacterium found in Sandusky Bay, a shallow and turbid embayment of Lake Erie. Previous work in other systems has indicated that cyanophages are an important natural control factor of harmful algal blooms. Currently, there are few cyanophages that are known to infect P. agardhii, with the best-known being PaV-LD, a tail-less cyanophage isolated from Lake Donghu, China. Presented here is a molecular characterization of Planktothrix specific cyanophages in Sandusky Bay.Methods and ResultsPutative Planktothrix-specific viral sequences from metagenomic data from the bay in 2013, 2018, and 2019 were identified by two approaches: homology to known phage PaV-LD, or through matching CRISPR spacer sequences with Planktothrix host genomes. Several contigs were identified as having viral signatures, either related to PaV-LD or potentially novel sequences. Transcriptomic data from 2015, 2018, and 2019 were also employed for the further identification of cyanophages, as well as gene expression of select viral sequences. Finally, viral quantification was tested using qPCR in 2015–2019 for PaV-LD like cyanophages to identify the relationship between presence and gene expression of these cyanophages. Notably, while PaV-LD like cyanophages were in high abundance over the course of multiple years (qPCR), transcriptomic analysis revealed only low levels of viral gene expression.DiscussionThis work aims to provide a broader understanding of Planktothrix cyanophage diversity with the goals of teasing apart the role of cyanophages in the control and regulation of harmful algal blooms and designing monitoring methodology for potential toxin-releasing lysis events.
Comparative whole-genome sequence analysis of Mycobacterium tuberculosis isolated from pulmonary tuberculosis and tuberculous lymphadenitis patients in Northwest Ethiopia
Authors: Mekonnen Daniel , Munshea Abaineh , Nibret Endalkachew , Adnew Bethlehem , Herrera-Leon Silvia , Amor Aramendia Aranzazu , Benito Agustín , Abascal Estefanía , Jacqueline Camille , Aseffa Abraham , Herrera-Leon Laura 
Published: June 2023

BackgroundTuberculosis (TB), caused by the Mycobacterium tuberculosis complex (MTBC), is a chronic infectious disease with both pulmonary and extrapulmonary forms. This study set out to investigate and compare the genomic diversity and transmission dynamics of Mycobacterium tuberculosis (Mtb) isolates obtained from tuberculous lymphadenitis (TBLN) and pulmonary TB (PTB) cases in Northwest Ethiopia.MethodsA facility-based cross-sectional study was conducted using two groups of samples collected between February 2021 and June 2022 (Group 1) and between June 2020 and June 2022 (Group 2) in Northwest Ethiopia. Deoxyribonucleic acid (DNA) was extracted from 200 heat-inactivated Mtb isolates. Whole-genome sequencing (WGS) was performed from 161 isolates having ≥1 ng DNA/μl using Illumina NovaSeq 6000 technology.ResultsFrom the total 161 isolates sequenced, 146 Mtb isolates were successfully genotyped into three lineages (L) and 18 sub-lineages. The Euro-American (EA, L4) lineage was the prevailing (n = 100; 68.5%) followed by Central Asian (CAS, L3, n = 43; 25.3%) and then L7 (n = 3; 2.05%). The L4.2.2.ETH sub-lineage accounted for 19.9%, while Haarlem estimated at 13.7%. The phylogenetic tree revealed distinct Mtb clusters between PTB and TBLN isolates even though there was no difference at lineages and sub-lineages levels. The clustering rate (CR) and recent transmission index (RTI) for PTB were 30 and 15%, respectively. Similarly, the CR and RTI for TBLN were 31.1 and 18 %, respectively.Conclusion and recommendationsPTB and TBLN isolates showed no Mtb lineages and sub-lineages difference. However, at the threshold of five allelic distances, Mtb isolates obtained from PTB and TBLN form distinct complexes in the phylogenetic tree, which indicates the presence of Mtb genomic variation among the two clinical forms. The high rate of clustering and RTI among TBLN implied that TBLN was likely the result of recent transmission and/or reactivation from short latency. Hence, the high incidence rate of TBLN in the Amhara region could be the result of Mtb genomic diversity and rapid clinical progression from primary infection and/or short latency. To validate this conclusion, a similar community-based study with a large sample size and better sampling technique is highly desirable. Additionally, analysis of genomic variants other than phylogenetic informative regions could give insightful information. Combined analysis of the host and the pathogen genome (GXG) together with environmental (GxGxE) factors could give comprehensive co-evolutionary information.
Acoustic analysis in stuttering: a machine-learning study
Authors: Asci Francesco , Marsili Luca , Suppa Antonio , Saggio Giovanni , Michetti Elena , Di Leo Pietro , Patera Martina , Longo Lucia , Ruoppolo Giovanni , Del Gado Francesca , Tomaiuoli Donatella , Costantini Giovanni 
Published: June 2023

BackgroundStuttering is a childhood-onset neurodevelopmental disorder affecting speech fluency. The diagnosis and clinical management of stuttering is currently based on perceptual examination and clinical scales. Standardized techniques for acoustic analysis have prompted promising results for the objective assessment of dysfluency in people with stuttering (PWS).ObjectiveWe assessed objectively and automatically voice in stuttering, through artificial intelligence (i.e., the support vector machine – SVM classifier). We also investigated the age-related changes affecting voice in stutterers, and verified the relevance of specific speech tasks for the objective and automatic assessment of stuttering.MethodsFifty-three PWS (20 children, 33 younger adults) and 71 age−/gender-matched controls (31 children, 40 younger adults) were recruited. Clinical data were assessed through clinical scales. The voluntary and sustained emission of a vowel and two sentences were recorded through smartphones. Audio samples were analyzed using a dedicated machine-learning algorithm, the SVM to compare PWS and controls, both children and younger adults. The receiver operating characteristic (ROC) curves were calculated for a description of the accuracy, for all comparisons. The likelihood ratio (LR), was calculated for each PWS during all speech tasks, for clinical-instrumental correlations, by using an artificial neural network (ANN).ResultsAcoustic analysis based on machine-learning algorithm objectively and automatically discriminated between the overall cohort of PWS and controls with high accuracy (88%). Also, physiologic ageing crucially influenced stuttering as demonstrated by the high accuracy (92%) of machine-learning analysis when classifying children and younger adults PWS. The diagnostic accuracies achieved by machine-learning analysis were comparable for each speech task. The significant clinical-instrumental correlations between LRs and clinical scales supported the biological plausibility of our findings.ConclusionAcoustic analysis based on artificial intelligence (SVM) represents a reliable tool for the objective and automatic recognition of stuttering and its relationship with physiologic ageing. The accuracy of the automatic classification is high and independent of the speech task. Machine-learning analysis would help clinicians in the objective diagnosis and clinical management of stuttering. The digital collection of audio samples here achieved through smartphones would promote the future application of the technique in a telemedicine context (home environment).
SMARCB1/INI1 loss in skull base conventional chordomas: a clinicopathological and molecular analysis
Authors: Righi Alberto , Cocchi Stefania , Maioli Margherita , Zoli Matteo , Guaraldi Federica , Carretta Elisa , Magagnoli Giovanna , Pasquini Ernesto , Melotti Sofia , Vornetti Gianfranco , Tonon Caterina , Mazzatenta Diego , Asioli Sofia 
Published: June 2023

IntroductionThe loss of SMARCB1/INI1 protein has been recently described in poorly differentiated chordoma, an aggressive and rare disease variant typically arising from the skull base.MethodsRetrospective study aimed at 1) examining the differential immunohistochemical expression of SMARCB1/INI1 in conventional skull base chordomas, including the chondroid subtype; 2) evaluating SMARCB1 gene deletions/copy number gain; and 3) analyzing the association of SMARCB1/INI1 expression with clinicopathological parameters and patient survival.Results65 patients (35 men and 30 women) affected by conventional skull base chordoma, 15 with chondroid subtype, followed for &gt;48 months after surgery were collected. Median age at surgery was 50 years old (range 9-79). Mean tumor size was 3.6 cm (range 2-9.5). At immunohistochemical evaluation, a partial loss of SMARCB1/INI1 (&gt;10% of neoplastic examined cells) was observed in 21 (32.3%) cases; the remaining 43 showed a strong nuclear expression. Fluorescence in situ hybridization (FISH) analysis was performed in 15/21 (71.4%) cases of the chordomas with partial SMARCB1/INI1 loss of expression. Heterozygous deletion of SMARCB1 was identified in 9/15 (60%) cases and was associated to copy number gain in one case; no deletion was found in the other 6 (40%) cases, 3 of which presenting with a copy number gain. No correlations were found between partial loss of SMARCB1/INI1 and the clinicopathological parameters evaluated (i.e., age, tumor size, gender, tumor size and histotype). Overall 5-year survival and 5-year disease-free rates were 82% and 59%, respectively. According to log-rank test analysis the various clinico-pathological parameters and SMARCB1/INI1 expression did not impact on overall and disease free-survival.DiscussionPartial loss of SMARCB1/INI1, secondary to heterozygous deletion and/or copy number gain of SMARCB1, is not peculiar of aggressive forms, but can be identified by immunohistochemistry in a significant portion of conventional skull base chordomas, including the chondroid subtype. The variable protein expression does not appear to correlate with clinicopathological parameters, nor survival outcomes, but still, it could have therapeutic implications.
Case Report: Advanced pulmonary sarcomatoid carcinoma with adrenal gland metastasis after sintilimab combined with anlotinib treatment
Authors: Dai Gangyi , He Lang , Yan Qin , Li Yamao , Huang Yuandong , Li Bin , Wang Guoping 
Published: June 2023

BackgroundPulmonary sarcomatoid carcinoma (PSC) is a rare subtype of non-small-cell lung cancer (NSCLC), which is resistant to conventional chemotherapy and radiotherapy with a poor prognosis. The MET inhibitor may be effective for the patients with MET exon 14 skipping mutation. This mutation was not detected in this patient. However, the PD-L1 TPS 60%, KRAS and TP53 mutations were detected in this patient could benefited from immunotherapy. The anlotinib is a novel multitarget antiangiogenic drug that could be effective for advanced non-small-cell lung cancer and some sarcoma patients. We report a patient with advanced pulmonary sarcomatoid carcinoma successfully treated with immunotherapy combined with antiangiogenic drugs.Case summaryA 75-year-old male was admitted to the hospital in July 2020 because of productive cough for more than three months. The patient was diagnosed with advanced pulmonary sarcomatoid carcinoma with adrenal gland metastasis (cT4N3M1b, stage IVA) was treated in our hospital. Genetic testing revealed KRAS P.L19F mutation (abundance 19.12%) and NFEE2L2 P.E82G mutation (abundance 14.84%); TP53 P.S183 mutation (abundance 26.97%), TMB(Tumor Mutational Burden) 30.91 muts/Mb, MSS, and PD-L1 (Daco 22C3) TPS 60% were also detected. We administrated sintilimab combined with anlotinib treatment, a PD-1 inhibitor with antiangiogenic drug. The patient achieved a favorable outcome with tolerable adverse effects.ConclusionSintilimab combined with anlotinib treatment may lead to a favorable outcome for patients with advanced pulmonary sarcomatoid carcinoma.