bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interim analysis of a prospective observational multicenter registry study of patients with chronic heart failure in the Russian Federation "PRIORITET-CHF": initial characteristics and treatment of the first included patients
Authors: Shlyakhto E. V. , Belenkov Yu. N. , Boytsov S. A. , Villevalde S. V. , Galyavich A. S. , Glezer N. G. , Zvartau N. E. , Kobalava Zh. D. , Lopatin Yu. M. , Mareev V. Yu. , Tereshchenko S. N. , Fomin I. V. , Barbarash O. L. , Vinogradova N. G. , Duplyakov D. V. , Zhirov I. V. , Kosmacheva E. D. , Nevzorova V. A. , Reitblat O. M. , Solovieva A. E. , Zorina E. A. 
Published: November 2023

Aim. To describe demographic and clinical laboratory characteristics, concomitant diseases and drug therapy of outpatients with heart failure (HF) in the Russian Federation.Material and methods. An interim analysis of a prospective observational multicenter registry study of patients with chronic heart failure in the Russian Federation ("PRIORITET-CHF") was performed. The study included outpatients with HF followed by a general practitioner or cardiologist.Results. Data from 6255 patients were analyzed (31,3% of the study sample; median age, 65 years; men, 65%). HF with reduced ejection fraction (HFrEF) was diagnosed in 42,4%, HF with preserved EF — in 31,9%. In addition, 57,4% of patients were characterized by NYHA class II HF. The most common causes of HF were hypertension, coronary artery disease, and atrial fibrillation or flutter. Of the concomitant diseases, doctors most often reported chronic kidney disease (CKD) (43,2%), obesity (37,8%) and diabetes (26,7%) in HF.Conclusion. In the Russian Federation, among outpatients with HF, there was domination of men, HFrEF phenotype, NYHA class II. The relatively young mean age and frequent associations of HF with cardiovascular risk factors and diseases underscore the importance of timely prevention initiatives. The identified high proportion of patients with CKD requires special attention and separate analysis. Despite the relatively high prescription rate of certain classes of diseasemodifying therapy for HF, the prescription of optimal quadruple therapy and electrophysiological treatments for HFrEF is insufficient.
Cycle Threshold Values Predict COVID-19 Severity and Mortality but are not Correlated with Laboratory Markers
Authors: Esmaeili Behnaz , Khoshnevis Hoda , Alirezaee Atefe , Shakoori Abbas , Pourpak Zahra , Chegini Hamid , Ahmadinejad Zahra 
Published: November 2023

Many studies have evaluated the possible utility of cycle threshold (Ct) values as a predictor of Coronavirus disease 2019 (COVID-19) severity and patient outcome. Given the inconsistent results, we aimed to evaluate the association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Ct values and disease severity, inflammatory markers, and outcomes in Iranian patients with COVID-19.
A retrospective study of 528 patients with COVID-19 hospitalized from September 2020 to October 2021 was conducted. Demographic, clinical, and laboratory data of patients were retrieved from electronic medical records. Ct values were analyzed as a continuous variable after subcategorizing into 3 groups: low (Ct values<20), medium (Ct values 20 to 30), and high (Ct values>30).
Of the 528 patients (45.1% female) aged 13 to 97 years, 109 patients had low Ct values, 312 patients had medium, and 107 patients had high Ct values. Patients with low Ct values were more likely to present with critical COVID-19, require invasive mechanical ventilation and develop complications such as acute respiratory distress syndrome and pneumonia. Furthermore, patients with low or medium Ct values were more likely to die compared to patients with high Ct values.Multivariate analysis showed that patients with low or medium Ct values were more likely to have severe COVID-19 compared with patients with high Ct values. The multivariate analysis also showed a higher risk of mortality in patients with low Ct values compared to patients with high Ct values, although this was not statistically significant.
Our findings revealed that Ct values were an independent predictor of COVID-19 severity. The risk of mortality was higher in patients with low Ct values. However, further investigation is needed to address the correlation between Ct values and inflammatory factors.
THE IMPACT OF SCHOOL WATCHING METHOD ON EARTHQUAKE DISASTER PREPAREDNESS ON PRIMARY SCHOOL STUDENTS AT SDN MOJOREJO 2 SRAGEN
Authors: Dewi Noorratri Erika , Mustika Sari Irma 
Published: November 2023

Introduction: The world's largest archipelago, Indonesia is located on the equator between the plains of Asia and Australia and between the Pacific and Indian oceans. This geographical position can increase the danger of natural disasters such as tectonic earthquakes, volcanic eruptions, tsunamis, and so on. There are many consequences of eartquakes, on of which is that many buildings and destroyed or collapsed. School children can get involved in disaster preparedness at their schools because it is an effective, dynamic, and sustainable strategy that teaches kids to recognize the signs of disasters that happen around them from an early age. Disasters can occur anywhere, at any time, even in the middle of the school day. The aims of this study was determining the effect of the School Watching Method on earthquake disaster preparedness on Primary School Students, particularly at SDN Mojorejo 2 Sragen. Methods : The method employed was Quasy Experimental. The research design was a group pretest-posttest without control group design . there were 49 respondents and the sampiling used was total sampling. The research instrument used was a modified questionnaire from a questionnaire and a check sheet or preparedness observation from LIPI (S3) and UNESCO/ISDR. Results: The results of the dependents t test showed a p value of 0.0000, this meaning that there was a significant difference in average disaster preparedness after being given disaster education using the school watching method. Conclusions: The findings showed that there is an effect of the school watching method on earthquake disaster preparedness at SDN Mojorejo 2 Sragen.
THE EFFECTIVENESS OF CHITOSAN NATURAL SOURCES ON PULP TISSUE REGENERATION
Authors: Ahmad Aisya Nadhifa , Ichrom Nahzi Muhammad Yanuar , Purwaningayu Juli Harnida 
Published: November 2023

Background: Dental pulp plays a role in forming dentin, providing nutrition, and sensing harmful stimuli to the tooth. Pulp damage can occur due to physical, chemical, and biological factors. A regenerative therapy was developed so that the pulp can regenerate its tissue and the teeth can survive in the oral cavity with vital conditions. Tissue engineering is a principle developed in the treatment of pulp tissue regeneration. The main elements of tissue engineering are stem cells, scaffolds, and growth factors. Scaffolds are elements that support cell organization, migration, proliferation, differentiation, and vascularization. One example of a biomaterial that can be used as a scaffold is chitosan. Chitosan has been proved to be suitable as a biomedical material because it has several beneficial properties including increasing cell proliferation, attachment, and differentiation. Purpose: This study aims to determine the most effective natural ingredient chitosan for pulp tissue regeneration. Methods: This study used the literature review method with a narrative review procedure. The literature was searched using Google Scholar, Science Direct, ProQuest, and PubMed. Results: The results of the study from 6 articles showed that chitosan from shrimp, crab, and mushroom had the potential to increase pulp tissue regeneration in terms of 3 indicators (cell proliferation, attachment, and differentiation). Conclusion: The most effective chitosan from natural sources for pulp regeneration is shrimp chitosan and mushroom chitosan. Keywords: Chitosan, Natural Sources, Pulp Tissue Regeneration
A Problem in Probabilistic Optimization
Authors: Bhandari Samir Kumar , Saha Parbati , Guria Shantanu , Choudhury Binayak S. 
Published: November 2023

Abstract
In our present discussion our target is to describe a method for determining the probabilistic distance between two sets. The approach here is through a construction of a non-self contraction from one set to the other and then seeking a global optimal approximate solution of the corresponding fixed point equation in probabilistic terms where the exact solution does not exist in general. The main theorem is illustrated with an example. The study is in the domain of probabilistic optimization.
Subgraph generation applied in GraphSAGE deal with imbalanced node classification
Authors: Huang Kai , Chen Chen 
Published: November 2023

Abstract
In graph neural network applications,GraphSAGE applies inductive learning and has been widely applied in important research topics such as node classification.The subgraph of nodes directly affects the classification performance for GraphSAGE due to it applies aggregation function to obtain embedding from the neighbors' feature.In many practical applications, the uneven class distribution of nodes makes it difficult for graph neural network to fully learn the topology and attribute of the minority, which limits the classification performance.Aiming at the problem of imbalanced node classification in GraphSAGE,we propose a new graph over-sampling algorithm called Subgraph Generation by Conditional Generative Adversarial Network (SG-CGAN).SG-CGAN learns the hidden layer expression of different nodes through GraphSAGEand trains conditional generative adversarial network(CGAN) through the nodes' hidden vector and related subgraph.Meanwhile, the hidden synthetic data is generated as input of CGAN to generate subgraphs of the minority,and retrain the GraphSAGE by adding the synthetic subgraphs.Experiments based on five graph datasets show that SG-CGAN can help GraphSAGE effectively improve ACC, macro-F1 and micro-F1,verifying the effectiveness of SG-CGAN generated data.
Unusual specific interaction of RBD with zeolite induces rapid neutralization of SARS-CoV-2
Authors: Fan Jie , Li Dan , Liu Shenxin , Zhu Miaojin , Zhang Tongtong , Yu Lisha , He Min , Chen Xutao , Wang Fangjun , Zhang Hang , Liu Zhuang , Shi Yifeng , Chen Hao , Zhang Wenzhao , Shi Chaojie , Weng Tianhao , Shi Danrong , Zou Shihui , Wang Qi , Chen Wei , Wu Nanping , YAO Hang-Ping , Xiao Liping 
Published: November 2023

Abstract
RBD-ACE2 interaction is critical in mediating SARS-CoV-2 attachment to its host cells. Blocking the attachment by inhibiting RBD-ACE2 binding is an effective way to prevent COVID-19 infection. In this study, we demonstrate that copper-ion exchanged zeolite (Cu-zeolite) binds specifically to RBD of SARS-CoV-2 via an unusual specific copper-content-dependent interaction of Cu-zeolite with RBD. Accordingly, Cu-zeolites prevent the virions from interacting with host cells, contributing to efficient and rapid SARS-CoV-2 neutralization. Therefore, Cu-zeolite has the potential to serve as a feasible and effective preventive measure to reduce exposure to the virus and as a therapeutic agent for post-exposure treatment of COVID-19.
Clinical, genetic profile and therapy evaluation of 11 Chinese paediatric patients with Fanconi-Bickel syndrome
Authors: Du Taozi , Xia Yu , Sun Chengkai , Gong Zhuwen , Liang Lili , Gong Zizhen , Wang Ruifang , Lu Deyun , Zhang Kaichuang , Yang Yi , Sun Yuning , Sun Manqing , Sun Yu , Xiao Bin , Qiu Wenjuan 
Published: November 2023

Abstract
Background: Fanconi-Bickel syndrome (FBS) is a rare autosomal recessive disorder characterized by impaired glucose and galactose utilization as well as proximal renal tubular dysfunction. Reported FBS data from China are scarce.
Methods: Clinical, biochemical, genetic, treatment, and follow-up data for 11 paediatric patients with FBS were retrospectively analysed.
Results: Hepatomegaly (10/11), short stature (10/11) and hypophosphataemic rickets (7/11) were the most common initial symptoms. At diagnosis, all patients had decreased fasting blood glucose (FBG), plasma bicarbonate (HCO3-) and serum phosphorus, as well as elevated liver transaminases, alkaline phosphatase (AKP) and proximal renal tubular dysfunction. Two infant patients were misdiagnosed with transient neonatal diabetes mellitus. After therapy with uncooked cornstarch and conventional rickets treatment, remission of hepatomegaly was observed in all patients, with significant improvements in FBG, liver transaminases, triglycerides, HCO3- and AKP (p < 0.05). At the last follow-up, 5/7 patients with elevated AKP had nephrocalcinosis. The mean height standard deviation score (Ht SDS) of eight patients with regular treatment increased from -4.1 to -3.5 (p = 0.02). Recombinant human growth hormone (rhGH) was administered to 4/9 patients, but their Ht SDS did not improve significantly (p = 0.13). Fourteen variants of the SLC2A2 gene were identified, with six being novel, among which one was recurrent: c.1217T>G (p.L406R) (allele frequency: 4/22, 18%). Patients with biallelic missense variants showed milder metabolic acidosis than those with null variants. Two of five patients from nonconsanguineous families with rare homozygous variations showed 5.3 Mb and 36.6 Mb of homozygosity surrounding the variants, respectively; a region of homozygosity (ROH) involving the entire chromosome 3 covering the SLC2A2 gene, suggesting uniparental disomy 3, was detected in one patient.
Conclusions: Early diagnosis of FBS is difficult due to the heterogeneity of initial symptoms. Although short stature is a major issue of treatment for FBS, rhGH is not recommended. Patients with biallelic null variants may require alkali supplementation since urine bicarbonate loss is genetically related. ROH is a mechanism for rare homozygous variants of FBS in nonconsanguineous families.
Ultrahigh-potent and broadly neutralizing anti-CD4 trimeric nanobodies inhibit HIV-1 infection by inducing CD4 conformational alteration
Authors: Wu Xilin , Zhu Linjing , Wang Xiangyao , Ni Fengfeng , Ao Mingjun , Wang Ruoke , Zheng Bin , Chen Chen , Shi Linen , Geng Shengya , Hu Jiaqian , Yang Mengshi , Zhang Doudou , Yang Ping , Li Miaomiao , Li Yuncheng , Hu Qinxue , Ye Sheng , Zheng Peng , Wei Hongxia , Zhang Linqi , Liu Yalan , Wu Zhiwei 
Published: November 2023

Abstract

Despite substantial progress in antiretroviral therapy (ART) effectively suppressing HIV-1 replication in the bloodstream, a cure for HIV remains elusive. Existing antiviral drugs pose limitations, including lifelong medication, frequent administration, side effects, and viral resistance, necessitating novel HIV-1 treatment approaches. CD4, the primary receptor for HIV-1 entry into host cells, was once a prime target for drug or vaccine development. However, challenges, such as the potency and breadth of neutralization and cytotoxicity associated with anti-CD4 antibodies, hindered progress. Nevertheless, Ibalizumab, the sole approved CD4-specific antibody for HIV-1 treatment, reignited interest in exploring alternative anti-HIV targets, emphasizing CD4's potential value for effective drug development. Here, we investigated anti-CD4 nanobodies, with a focus on Nb457 isolated from a human CD4-immunized alpaca. Nb457 displayed remarkable ultra-high potency and broad-spectrum activity against HIV-1, surpassing Ibalizumab's efficacy. Importantly, Nb457 showed no impact on CD4+ T cell function, akin to Ibalizumab. Strikingly, engineered trimeric Nb457 nanobodies, Nb457-NbHSA-Nb457, achieved 100% inhibition against live HIV-1, outperforming Ibalizumab and parental Nb457. Structural analysis revealed that Nb457 binding induced a CD4 conformational change, impeding viral entry. Molecular Dynamics simulations elucidated the structural basis for the complete inhibition of HIV-1 by Nb457-NbHSA-Nb457. Furthermore, Nb457 exhibited significant therapeutic efficacy against HIV-1 infection in humanized mouse models. In conclusion, our study highlights ultra-potent anti-CD4 nanobodies as a compelling source of new HIV-1 therapeutics. The development of Nb457-based drugs holds the potential to revolutionize clinical HIV-1 treatment, providing a powerful tool in the battle against this persistent global health challenge.
Measuring the equilibrium relationships among urbanization, output growth, and environmental quality in Nigeria
Authors: Posu Sunday Mauton Ayodamola , Adeniyi Ademola Israel , Olubiyi Ebenezer Adesoji , Ojo Olutunji Timothy , Obisanya Adesile Adesegun 
Published: November 2023

Abstract
This study investigates the long-run relationship and short-run dynamics among urbanization, output growth, and environmental quality in Nigeria. The study adopts autoregressive distributed lag, bounds test co-integration analysis and the autoregressive integrated moving average with the annual time series dataset for 1990-2021. A long-run equilibrium relationship among urbanization, output growth, and environmental quality is established. Urban population, output growth, per capita GDP, and population growth are all significantly related to CO2 emissions. The study confirms the Environmental Kuznets Curve (EKC) hypothesis on per capita GDP and CO2 emissions in Nigeria. The positive interactive effect of urban population and output growth reduces CO2 emissions just as an increase in per capita GDP in a previous period produces a short-run effect of reducing CO2 emissions. The first-period lagged change in per capita GDP reports a marginal statistically significant negative effect on current CO2 emissions. The study utilizes data on past CO2 emissions to predict how CO2 emissions might evolve in the coming years and to examine the environmental sustainability of Nigeria. The forecast of CO2 emissions for 2023-2030 are relatively stable with some marginal fluctuations, which confirm the validated EKC. To sustain the validated inverted U-shaped EKC and to avoid it assuming an N-shape in the future, this study recommends environmental policy focus to monitor the growth of large cities and to implement measures capable of mitigating CO2 emissions by decoupling economic growth from CO2 emissions; and by encouraging investment in clean energy sources, sustainable transportation, and industrial practices.
JEL Classification E23 . O44 . O33 . Q28 . Q56 . R11
Physical Mapping of Different Morphological Characters in Neurospora Crassa
Authors: Kanchan Kamni Kanchan , Vivek Vivek Anand , Rohit Rohit Kumar Verma 
Published: November 2023

Abstract
Neurospora crassa is a type of red bread mold fungi of the phylum Genus name, meaning “nerve spore” in Greek, refers to the characteristic striation on the spores. Neurospora crassa is use as a model organism because it is easy to grow and passed a haploid life cycle that makes genetic analysis of genetic recombination is facilitate by the ordered arrangement of the products of meiosis in Neurospora ascospores[1]. Orderly arrangement of tetrad is used in this present pieces of work to know the position of different morphological characters and also used for physical mapping of genes such as spore color, sporangium size, etc[2][3].
Mental Health Markers and Protective Factors in Students with Symptoms of Physical Pain across WEIRD and non-WEIRD Samples – a Network Analysis
Authors: Tandon Tanya , Piccolo Mayron , Ledermann Katharina , McNally Richard J. , Gupta Rashmi , Morina Naser , Martin-Soelch Chantal 
Published: November 2023

Abstract

More than 20% of youths experience a mental health disorder by the end of adolescence and 45% of the global burden of disease lies in the youth age range (18–25 years). These issues have now increased due to the stress of the COVID-19 pandemic especially among students. In addition to mental health issues, physical pain has become a major health problem among youth in general and university students in particular, with around 54% of them suffering from it each year worldwide. While research in non-Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples is less frequent, we recently reported a 45% prevalence of physical pain among university students in India. Prior studies conducted in Western societies identified that specific factors, i.e., posttraumatic stress disorder (PTSD), depression, anxiety, perceived stress, as well as protective factors like social support and self-efficacy have been associated with physical pain. Few studies have examined these factors across different cultures. Our study aimed to understand the relationship between specific mental health markers (i.e., depression, anxiety, PTSD, perceived stress) as well as specific protective factors (i.e., social support and self-efficacy) related to physical pain among university students and the possible differences and similarities across non-WEIRD and WEIRD samples in the interaction using network analysis which allows us to go beyond the traditional approaches and help us to understand which mental health marker might be particularly central to the experience of physical pain. No statistically significant difference was found between mental health markers (i.e., depression, anxiety, perceived stress, and PTSD) and protective factors (i.e., social support and self-efficacy) associated with physical pain symptoms for Swiss students versus Indian students (M = 0.325, p = .11). In addition, networks for Swiss versus Indian students did not differ in global strength (S = 0.29, p = .803). Interestingly, anxiety came to be the most central mental health marker, and social support was the most important protective factor related to physical pain in both countries. However, for Swiss students, perceived stress, and for Indian students, PTSD symptoms were central mental health markers related to physical pain. Also, these symptoms (and associations between symptoms) found in our study can contribute to the existing literature and keep in mind the existing cultural differences in the area of pain. Also, our study can be prioritized in theoretical models of physical pain and might also serve as important treatment targets for pain interventions among students before it becomes chronic in the future for both countries.