bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-neutrophlic cytoplasmic antibody Elastase, Lactoferrin, Cathapsin G,and Lysozyme in a sample of Iraqi patients with Rheumatoid Arthritis
Authors: Al-Rubaye Mahmood R. 
Published: March 2023

mucosal secretions as well as in secondary granules of polymorphonuclear leukocytes. Anti-Elastase antibodies, anti-Lactoferrin antibodies,anti-Cathapsin G antibodies and anti-Lysozyme antibodies, which belong to Perinuclear Anti-Neutrophil Cytoplasmic Antibodies(pANCA) have been described in several immunomediated diseases, including Rheumatoid Arthritis .Objectives: Investigate the prevalence of anti-Elastase antibodies, anti-Lactoferrin antibodies,anti-Cathapsin G antibodies , anti- Lysozyme antibodies and rheumatoid factor in patients with rheumatoid arthritis in comparison to healthy control.Patients &Methods: The study involved 40 Rheumatoid Arthritis patients who were referred to Immunological Department in Teaching laboratory \ Medical City during period of (1st of January – 31st of June) 2011 and 25 apparently healthy individual used as a control group were investeged to rheumatic factor IgG, IgM ,IgA isotypes and Elastase antibodies, Lactoferrin antibodies, Cathapsin G antibodies , and lysozyme antibodies were measured by using enzyme immunoassay technique.Results : Anti- Elastase, Abs anti-Cathapsin G Abs ,and anti-lysozyme Abs showed significant correlation with RF screen, and the mean concentration for these antibodies in rheumatoid arthritis patients with significant difference if compare it with the healthy control group. While anti-Lactoferrin Abs showed no significant correlation with RF screen. This study showed a association between the positive results of anti- Cathapsin G Abs with RF IgG and RF IgM only .Anti- Elastase Abs, Anti-Lactoferrin Abs and Antilysozyme Abs showed neither a significant correlation with RF IgG, RF IgM nor with RF IgA.Conclusion:A significant correlation was found between Elastase antibodies, Cathapsin G antibodies , lysozyme antibodies and patients with rheumatiod arthritis Cathapsin G antibodies has a significant association with RF IgG and RF IgM
Willingness of people with severe visual impairments to accept new transportation assistive technologies
Authors: Bennett Roger , Vijaygopal Rohini 
Published: March 2023

BACKGROUND: Technology-driven assistive devices provide numerous benefits to people with severe visual impairments, yet device take-up rates are often low. OBJECTIVE: The study sought to determine the strengths of connections between transportation self-efficacy, technophobia, personal inertia, innovation resistance, and willingness to adopt high-tech transportation assistive devices among visually impaired individuals. It also examined certain potential barriers to device acceptance; namely the perceived safety and complexity of assistive devices and the effects on a person’s self-image of using a device. METHODS: A model was developed and tested via a questionnaire survey of 319 people with visual disabilities, each of whom was presented with five examples of hypothetical high-tech mobility and transportation assistive devices. RESULTS: Technophobia exerted a powerful negative impact on innovation resistance and was itself significantly determined in part by transportation self-efficacy. Personal inertia and the effects of device use on self-image failed to impact significantly on the participants’ levels of innovation resistance. CONCLUSIONS: The results have implications for the promotional activities of manufacturers of mobility and transportation assistive devices and for visual disability support organisations that wish to secure acceptance of new assistive devices.
Penyakit Utama Tanaman Lada di Kabupaten Bangka Selatan
Authors: Ropalia Ropalia , Apriyadi Rion , Saputra Herry Marta 
Published: March 2023

Produksi tanaman lada tidak sejalan dengan upaya ekstensifikasi dan intensifikasi pemerintah, hal ini disebabkan masih banyaknya infeksi penyakit pada tanaman lada bahkan cenderung bertambah baik dari jenis penyakit maupun intensitas infeksi penyakitnya. Informasi mengenai perkembangan penyakit tanaman lada di area centra produksi lada yang jarang diperbaharui. Penelitian ini dilakukan untuk mengamati dan menentukan kejadian dan keparahan penyakit tanaman lada menggunakan metode purposive samping. Hasil penelitian ditemukan 3 jenis penyakit yang menginfeksi tanaman lada di Kabupaten Bangka Selatan, yaitu penyakit kuning, busuk pangkal batang dan kerdil virus. Tingkat kejadian dan keparahan penyakit relatif lebih tinggi terjadi di Kecamatan Tukak Sadai. Kejadian penyakit kuning lada, penyakit busuk pangkal batang, dan penyakit virus berkisar 3,33-90,48 %; 43,70 %; dan 12,5-100 %, secara berturut-turut. Keparahan penyakit busuk pangkal batang mencapai 43,11 % dan penyakit virus berkisar 4,58-59,57 %.
KLASIFIKASI JUMLAH KENDARAAN DI SUMATERA UTARA DAN SUMATERA BARAT MENGGUNAKAN ALGORITMA NAIVE BAYES
Authors: Saragih Andy Tessa , Afrida Dwi , Dinara R. Fazlun 
Published: March 2023

Abstract : The Central Bureau of Statistics (BPS) is a non-departmental government agency established as a provider of data or information based on Law No. 6/1960 on Census and Law No. 7/1997 on Statistics. The Central Statistics Agency (BPS) recorded the number of motorized vehicles such as cars, buses, trucks, and motorcycles in the provinces of North Sumatra and West Sumatra in 2020-2021 reaching 3,043,892 million units. The purpose of this study is to classify the number of motorized vehicles in the form of cars, motorcycles, buses and trucks. This research uses quantitative research with Naive Bayes Algorithm analysis model. The data used in this study is data from several regions in North Sumatra Province and West Sumatra Province in 2020-2021. Evaluation of model performance is based on accuracy parameters, precision and total recall of the confusion-matrix. The results of testing the dataset and calculating the model performance parameters have obtained an accuracy value of 100%. With the percentage value of the description of each dataset class, namely a little 70.6%, moderate 21.6%, and a lot 7.8%. Keywords :classification;confusion-matrix; data; motor vehicles; naive bayes Abstrak : Badan Pusat Statistik (BPS) adalah lembaga pemerintahan non-departemen yang dibentuk sebagai penyedia data atau informasi berdasarkan UU Nomor 6 Tahun 1960 tentang Sensus dan UU Nomor 7 Tahun 1997 tentang Statistik. Badan Pusat Statistik (BPS) mencatat jumlah kendaraan bermotor seperti mobil, bus, truk, dan sepeda motor di Provinsi Sumatera Utara dan Sumatera Barat pada tahun 2020-2021 mencapai 3.043.892 juta unit. Tujuan dari penelitian ini yaitu untuk mengklasifikasikan jumlah kendaraan bermotor berupa mobil, sepeda motor, bus dan, truk. Adapun penelitian ini menggunakan jenis penelitian kuantitatif dengan model analisis Algoritma Naive Bayes. Data yang digunakan pada penelitian ini adalah data dari beberapa daerah di Provinsi Sumatera Utara dan Provinsi Sumatera Barat tahun 2020-2021. Evaluasi kinerja model didasarkan pada parameter akurasi, presisi dan recall total dari Confusion-Matrix. Hasil pengujian dataset dan perhitungan parameter performa model telah didapat nilai akurasi 100%. Dengan presentase nilai keterangan setiap kelas dataset yaitu Sedikit 70,6%, Sedang 21,6%, dan Banyak 7,8%. Kata kunci :confusion-matrix; data; kendaraan bermotorklasifikasi; naive bayes
Some Highlights on the New Version of EN 1992-1-2 (Eurocode 2, Fire Part)
Authors: Carrascón Sergio , Robert Fabienne , Villagrá Carlos 
Published: March 2023

Revision process of Eurocode 2 relating to concrete structural design is ready for the final step, the Formal Vote in CEN TC 250 Structural Eurocodes at the beginning of 2023. This paper summarizes the main changes and new developments presented by this revision in prEN 1992-1-2 with regard to the version currently in force. It will focus mainly in the introduction on some changes in the structure of the document and the reduction of the number of Nationally Determined Parameters (NDPs). Additionally, some changes and novelties in the properties of concrete, reinforcing and prestressing steel with temperature are commented. Another important point is the novelties in the design and verification methods (tables, simplified and advanced), focusing in the simplified methods and an analytical formulation to find the temperature in rectangular and circular cross-sections. Finally, the new approach in the treatment of concrete spalling that simplifies and clarifies the measures to avoid it and new developments in the Annexes section are discussed.
LA INFERENCIA ESTADÍSTICA EN LAS PRUEBAS DE ACCESO A LA UNIVERSIDAD EN ANDALUCÍA
Authors: López-Martín M. del Mar , Batanero Carmen , Díaz-Batanero Carmen , Gea M. Magdalena 
Published: March 2023

El objetivo de este estudio ha sido analizar el contenido matemático de los problemas de inferencia propuestos desde 2003 a 2014 en las Pruebas de Acceso a la Universidad del Distrito Andaluz en la especialidad de Bachillerato de Ciencias Sociales. Mediante un análisis de contenido se ha identificado el campo de problema que corresponde a cada ejercicio. Se utiliza un ejemplo en cadacategoría para identificar el contenido matemático evaluado, analizando la diferencia entre campos de problemas y la correspondencia con los estándares de aprendizaje evaluables propuestos en el nuevo currículo. Finalmente se estudia la distribución global y por año de los diferentes campos de problemas. Los resultados obtenidos del análisis pueden servir para la elaboración de pruebas futuras y preparar a los estudiantes que tienen que enfrentarse a las mismas.
A UTILIZAÇÃO DA PROVA EM FASES COMO RECURSO DE ENSINO EM AULAS DE CÁLCULO
Authors: Mendes Marcele Tavares , Buriasco Regina Luzia Corio de 
Published: March 2023

Neste artigo será apresentada uma discussão para um repensar a prática pedagógica da disciplina de matemática, em particular, Cálculo Diferencial e Integral, a partir dos dados obtidos emuma pesquisa de doutorado, de natureza qualitativa de cunho interpretativo, que investigou a utilização da Prova em Fases em aulas de Cálculo em uma turma com 48 alunos de um curso de engenharia de uma universidade federal do Paraná. Esse repensar está baseado nos pressupostos da Educação Matemática Realística e da Avaliação como Prática de Investigação e Oportunidade de Aprendizagem. Trechos de uma experiência com o instrumento de avaliação Prova em Fases é apresentado como possibilidade para efetivar o contexto de ensino, de aprendizagem e de avaliação aqui discutido e evidenciar potencialidades desse instrumento quando reconhecido como um recurso de ensino.
Mycoplasma genitalium antibiotic resistance-associated mutations in genital and extragenital samples from men-who-have-sex-with-men attending a STI clinic in Verona, Italy
Authors: Sandri Angela , Carelli Maria , Visentin Alessandro , Savoldi Alessia , De Grandi Gelinda , Mirandola Massimo , Lleo Maria M. , Signoretto Caterina , Cordioli Maddalena 
Published: March 2023

BackgroundMycoplasma genitalium (MG) is one of the most warning emerging sexually transmitted pathogens also due to its ability in developing resistance to antibiotics. MG causes different conditions ranging from asymptomatic infections to acute mucous inflammation. Resistance-guided therapy has demonstrated the best cure rates and macrolide resistance testing is recommended in many international guidelines. However, diagnostic and resistance testing can only be based on molecular methods, and the gap between genotypic resistance and microbiological clearance has not been fully evaluated yet. This study aims at finding mutations associated with MG antibiotic resistance and investigating the relationship with microbiological clearance amongst MSM.MethodsFrom 2017 to 2021, genital (urine) and extragenital (pharyngeal and anorectal swabs) biological specimens were provided by men-who-have-sex-with-men (MSM) attending the STI clinic of the Infectious Disease Unit at the Verona University Hospital, Verona, Italy. A total of 1040 MSM were evaluated and 107 samples from 96 subjects resulted positive for MG. Among the MG-positive samples, all those available for further analysis (n=47) were considered for detection of mutations known to be associated with macrolide and quinolone resistance. 23S rRNA, gyrA and parC genes were analyzed by Sanger sequencing and Allplex™ MG and AziR Assay (Seegene).ResultsA total of 96/1040 (9.2%) subjects tested positive for MG in at least one anatomical site. MG was detected in 107 specimens: 33 urine samples, 72 rectal swabs and 2 pharyngeal swabs. Among them, 47 samples from 42 MSM were available for investigating the presence of mutations associated with macrolide and quinolone resistance: 30/47 (63.8%) showed mutations in 23S rRNA while 10/47 (21.3%) in parC or gyrA genes. All patients with positive Test of Cure (ToC) after first-line treatment with azithromycin (n=15) were infected with 23S rRNA-mutated MG strains. All patients undergoing second-line moxifloxacin treatment (n=13) resulted negative at ToC, even those carrying MG strains with mutations in parC gene (n=6).ConclusionOur observations confirm that mutations in 23S rRNA gene are associated with azithromycin treatment failure and that mutations in parC gene alone are not always associated with phenotypic resistance to moxifloxacin. This reinforces the importance of macrolide resistance testing to guide the treatment and reduce antibiotic pressure on MG strains.
Metagenomic assessment of nitrate-contaminated mine wastewaters and optimization of complete denitrification by indigenous enriched bacteria
Authors: Moloantoa Karabelo M. , Khetsha Zenzile P. , Kana Gueguim E. B. , Maleke Maleke M. , Van Heerden Esta , Castillo Julio C. , Cason Errol D. 
Published: March 2023

Nitrate contamination in water remains to be on the rise globally due to continuous anthropogenic activities, such as mining and farming, which utilize high amounts of ammonium nitrate explosives and chemical-NPK-fertilizers, respectively. This study presents insights into the development of a bioremediation strategy to remove nitrates (NO3−) using consortia enriched from wastewater collected from a diamond mine in Lesotho and a platinum mine in South Africa. A biogeochemical analysis was conducted on the water samples which aided in comparing and elucidating their unique physicochemical parameters. The chemical analysis uncovered that both wastewater samples contained over 120 mg/L of NO3− and over 250 mg/L of sulfates (SO42-), which were both beyond the acceptable limit of the environmental surface water standards of South Africa. The samples were atypical of mine wastewaters as they had low concentrations of dissolved heavy metals and a pH of over 5. A metagenomic analysis applied to study microbial diversities revealed that both samples were dominated by the phyla Proteobacteria and Bacteroidetes, which accounted for over 40% and 15%, respectively. Three consortia were enriched to target denitrifying bacteria using selective media and then subjected to complete denitrification experiments. Denitrification dynamics and denitrifying capacities of the consortia were determined by monitoring dissolved and gaseous nitrogen species over time. Denitrification optimization was carried out by changing environmental conditions, including supplementing the cultures with metal enzyme co-factors (iron and copper) that were observed to promote different stages of denitrification. Copper supplemented at 50 mg/L was observed to be promoting complete denitrification of over 500 mg/L of NO3−, evidenced by the emission of nitrogen gas (N2) that was more than nitrous oxide gas (N2O) emitted as the terminal by-product. Modification and manipulation of growth conditions based on the microbial diversity enriched proved that it is possible to optimize a bioremediation system that can reduce high concentrations of NO3−, while emitting an environmentally-friendly N2 instead of N2O, that is, a greenhouse gas. Data collected and discussed in this research study can be used to model an upscale NO3− bioremediation system aimed to remove nitrogenous and other contaminants without secondary contamination.
CD4+ conventional T cells-related genes signature is a prognostic indicator for ovarian cancer
Authors: Hua Tian , Liu Deng-xiang , Zhang Xiao-chong , Li Shao-teng , Yan Peng , Zhao Qun , Chen Shu-bo 
Published: March 2023

IntroductionIt is believed that ovarian cancer (OC) is the most deadly form of gynecological cancer despite its infrequent occurrence, which makes it one of the most salient public health concerns. Clinical and preclinical studies have revealed that intratumoral CD4+ T cells possess cytotoxic capabilities and were capable of directly killing cancer cells. This study aimed to identify the CD4+ conventional T cells-related genes (CD4TGs) with respect to the prognosis in OC.MethodsWe obtained the transcriptome and clinical data from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. CD4TGs were first identified from single-cell datasets, then univariate Cox regression was used to screen prognosis-related genes, LASSO was conducted to remove genes with coefficient zero, and multivariate Cox regression was used to calculate riskscore and to construct the CD4TGs risk signature. Kaplan-Meier analysis, univariate Cox regression, multivariate Cox regression, time-dependent receiver operating characteristics (ROC), decision curve analysis (DCA), nomogram, and calibration were made to verify and evaluate the risk signature. Gene set enrichment analyses (GSEA) in risk groups were conducted to explore the tightly correlated pathways with the risk group. The role of riskscore has been further explored in the tumor microenvironment (TME), immunotherapy, and chemotherapy. A risk signature with 11 CD4TGs in OC was finally established in the TCGA database and furtherly validated in several GEO cohorts.ResultsHigh riskscore was significantly associated with a poorer prognosis and proven to be an independent prognostic biomarker by multivariate Cox regression. The 1-, 3-, and 5-year ROC values, DCA curve, nomogram, and calibration results confirmed the excellent prediction power of this model. Compared with the reported risk models, our model showed better performance. The patients were grouped into high-risk and low-risk subgroups according to the riskscore by the median value. The low-risk group patients tended to exhibit a higher immune infiltration, immune-related gene expression and were more sensitive to immunotherapy and chemotherapy.DiscussionCollectively, our findings of the prognostic value of CD4TGs in prognosis and immune response, provided valuable insights into the molecular mechanisms and clinical management of OC.
DTI-ALPS: An MR biomarker for motor dysfunction in patients with subacute ischemic stroke
Authors: Qin Yue , Li Xin , Qiao Yanqiang , Zou Huili , Qian Yifan , Li Xiaoshi , Zhu Yinhu , Huo Wenli , Wang Lei , Zhang Ming 
Published: March 2023

PurposeBrain glymphatic dysfunction is involved in the pathologic process of acute ischemic stroke (IS). The relationship between brain glymphatic activity and dysfunction in subacute IS has not been fully elucidated. Diffusion tensor image analysis along the perivascular space (DTI-ALPS) index was used in this study to explore whether glymphatic activity was related to motor dysfunction in subacute IS patients.MethodsTwenty-six subacute IS patients with a single lesion in the left subcortical region and 32 healthy controls (HCs) were recruited in this study. The DTI-ALPS index and DTI metrics (fractional anisotropy, FA, and mean diffusivity, MD) were compared within and between groups. Spearman's and Pearson's partial correlation analyses were performed to analyze the relationships of the DTI-ALPS index with Fugl-Meyer assessment (FMA) scores and with corticospinal tract (CST) integrity in the IS group, respectively.ResultsSix IS patients and two HCs were excluded. The left DTI-ALPS index of the IS group was significantly lower than that of the HC group (t = −3.02, p = 0.004). In the IS group, a positive correlation between the left DTI-ALPS index and the simple Fugl-Meyer motor function score (ρ = 0.52, p = 0.019) and a significant negative correlation between the left DTI-ALPS index and the FA (R = −0.55, p = 0.023) and MD (R = −0.48, p = 0.032) values of the right CST were found.ConclusionsGlymphatic dysfunction is involved in subacute IS. DTI-ALPS could be a potential magnetic resonance (MR) biomarker of motor dysfunction in subacute IS patients. These findings contribute to a better understanding of the pathophysiological mechanisms of IS and provide a new target for alternative treatments for IS.
A general modeling framework for quantitative tracking, accurate prediction of ICU, and assessing vaccination for COVID-19 in Chile
Authors: Cumsille Patricio , Rojas-Díaz Oscar , Conca Carlos 
Published: March 2023

BackgroundOne of the main lessons of the COVID-19 pandemic is that we must prepare to face another pandemic like it. Consequently, this article aims to develop a general framework consisting of epidemiological modeling and a practical identifiability approach to assess combined vaccination and non-pharmaceutical intervention (NPI) strategies for the dynamics of any transmissible disease.Materials and methodsEpidemiological modeling of the present work relies on delay differential equations describing time variation and transitions between suitable compartments. The practical identifiability approach relies on parameter optimization, a parametric bootstrap technique, and data processing. We implemented a careful parameter optimization algorithm by searching for suitable initialization according to each processed dataset. In addition, we implemented a parametric bootstrap technique to accurately predict the ICU curve trend in the medium term and assess vaccination.ResultsWe show the framework's calibration capabilities for several processed COVID-19 datasets of different regions of Chile. We found a unique range of parameters that works well for every dataset and provides overall numerical stability and convergence for parameter optimization. Consequently, the framework produces outstanding results concerning quantitative tracking of COVID-19 dynamics. In addition, it allows us to accurately predict the ICU curve trend in the medium term and assess vaccination. Finally, it is reproducible since we provide open-source codes that consider parameter initialization standardized for every dataset.ConclusionThis work attempts to implement a holistic and general modeling framework for quantitative tracking of the dynamics of any transmissible disease, focusing on accurately predicting the ICU curve trend in the medium term and assessing vaccination. The scientific community could adapt it to evaluate the impact of combined vaccination and NPIs strategies for COVID-19 or any transmissible disease in any country and help visualize the potential effects of implemented plans by policymakers. In future work, we want to improve the computational cost of the parametric bootstrap technique or use another more efficient technique. The aim would be to reconstruct epidemiological curves to predict the combined NPIs and vaccination policies' impact on the ICU curve trend in real-time, providing scientific evidence to help anticipate policymakers' decisions.