bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation between numerical interpretation and analysis abilities with critical analysis ability on biology education students
Authors: Arsyad M. 
Published: July 2023

Numerical literacy and critical thinking skills are important 21st-century competencies for prospective biology teacher students in South Kalimantan. Some of these competencies include interpreting and analysis numeracy as well as critical analysis abilities. This study aims to analyze the correlation between Numerical interpretation and analysis ability with critical analysis ability of students' education biology. This study is quantitative correlational research. The sample of this research was 245 biology education students in South Kalimantan from Lambung Mangkurat University, UIN Antasari Banjarmasin, and STKIP PGRI Banjarmasin. Test instruments Numerical interpretation and analysis abilities refer to AACU, and critical analysis ability test instrument developed refer to Facione with the types of multiple choice questions and each variable totaling 6 (six) questions. Test instrument has been validated by empirical validation using a correlation test. The type of data collected is quantitative data from the scoring results of the three variables that are measured and analyzed using the Pearson Product Moment correlation test and multiple correlation tests with SPSS 26. Results of the study show a significant correlation between ability numerical interpretation ability with critical analysis ability, and other relationships also exist in numerical analysis ability with critical analysis ability in Biology Education Students.Abstrak Literasi numerasi dan kemampuan berpikir kritis merupakan kompetensi abad 21 yang penting dimiliki oleh mahasiswa calon guru biologi di Kalimantan Selatan. Beberapa kompetensi tersebut diantaranya adalah kemampuan interpretasi dan analisis numerasi serta kemampuan analisis kritis. Penelitian ini bertujuan untuk menganalisis hubungan antara kemampuan interpretasi dan analisis numerasi dengan kemampuan analisis kritis mahasiswa pendidikan biologi di Kalimantan Selatan. Jenis penelitian ini adalah penelitian kuantitatif korelasional. Sampel penelitian ini yaitu mahasiswa Pendidikan Biologi di Kalimantan Selatan berjumlah 245 orang dari Universitas Lambung Mangkurat, UIN Antasari, dan STKIP PGRI Banjarmasin. Instrumen tes kemampuan interpretasi dan analisis numerasi merujuk pada AACU dan Instrumen tes kemampuan analisis kritis dikembangkan dengan merujuk pada Facione dengan jenis soal pilihan ganda dan masing-masing variabel berjumlah 6 (enam) soal. Instrumen tes divalidasi dengan validasi empiris menggunakan uji korelasi. Jenis data yang dikumpulkan merupakan data kuantitatif dari hasil penskoran ketiga variabel yang diukur dan dianalisis dengan menggunakan uji korelasi Pearson Product Moment dan uji korelasi berganda dengan SPSS 26. Hasil analisis menunjukkan adanya hubungan yang signifikan secara simultan antara Kemampuan Interpretasi dan Analisis Numerasi dengan Kemampuan Analisis Kritis Mahasiswa Pendidikan biologi di Kalimantan Selatan.
Method of calculating of the information in social networks protection depending on the number of communities
Authors: Akhramovych Volodymyr 
Published: July 2023

A mathematical model (linear system of differential equations) was developed and a research of the model of personal data protection against the number of communities and the intensity of data transfer in social networks was conducted. The linear system of information protection in social networks in the mathematical sense of this term is considered. When described by linear models, the object should be linear, at least approximately. This approach makes it quite simple to consider mathematical models. If such a thing is not noticed, it is necessary to examine the security system for linearity. Such dependecies has been studied: the dependence of the amount of information flow in the social network on the components of information protection, the amount of personal data, and the speed of the data flow; the security of the system on the size of the system (as well as on the amount of personal data); information security threats on the number of communities, and also calculated: – coefficient representing the impact of information protection measures; – coefficient representing the impact of data leakage rate; – the coefficient representing the influence of the amount of data on its leakage; – the coefficient representing the influence of the system size on system security; – coefficient representing the impact of system security on data leakage; – the number of connections in the social networks; – number of vertices in the social networks; – the parameter can be used to configure the network partitioning algorithm. The solution has been obtained - the harmonic oscillator equation, which breaks down into three cases: pre-resonance zone, resonance zone and post-resonance zone. So, the impact of the parameters of the number of communities on the parameters of the social network security system was investigated. Such a study is useful and important from the point of view of information protection in the network, since the parameters of the number of communities has significant influence, up to 100%, per protection indicator. As the result of research, it was established that social network security systems are non-linear.
Efektivitas Technode Hydrogel 0,02% Sebagai Penyembuhan Luka Post Operasi Ovariohisterectomi dan Orchhiectomi Pada Kucing Domestik (Felis silvestris Catus) Dibandingkan Iodine 10%
Authors: Ul Millah Nida , Eka Ermawati Dian 
Published: July 2023

Antibiotics have been reduced to support Anti-Microbial Resistance (AMR) campaigns worldwide due to widespread bacterial resistance to commonly used antibiotics, the emergence of new superbugs or diseases, and the impact of antibiotic waste on the environment and soil. Iodine is generally used as an alternative because it has antibacterial and antifungal potential, suitable for preventing wound infections. However, iodine can cause a serous exudative effect and quickly become inactive when mixed with serous fluids. The study aims to find alternative therapeutic preparations to replace antibiotics when treating open wounds. Experimental research in which domestic cats were divided into two groups. Group A was given 10% iodine therapy twice a day, while Group B was given Technode Hydrogel 0,02% therapy twice a day for seven days. The wound score was calculated based on three points with the following criteria: discharge, swelling, erythema, and dehiscence. The scoring system was adopted as suggested by Sylvestre. The results showed that Technode Hydrogel 0,02% had an average wound score of 0,457 compared to 10% iodine which was 0,714. Hydrogel Technode is expected to be the best alternative for wound care, both in terms of efficacy and efficiency, to help the healing process of open wounds.
Dislocated and Dissociated Dual-Mobility Components Are Easily Missed and More Than Half Fail Closed Reduction
Authors: Mallett Katherine E. , Taunton Michael J. , Abdel Matthew P. , Sierra Rafael J. 
Published: July 2023

Background:
Dual-mobility (DM) implants reduce the risk of dislocation in patients who have undergone total hip arthroplasty (THA); however, DM implants are at risk for large-head dislocation and intraprosthetic dissociation (IPD), where the inner femoral head dissociates from the outer polyethylene head. This study aimed to report the incidence of DM dislocation and IPD, evaluate the rate of recognition of IPD before and after reduction, investigate the outcomes of these complications, and provide treatment recommendations for their management.

Methods:
Between 2010 and 2021, 695 primary and 758 revision THAs were performed with DM constructs at a single institution. There were 44 large-head dislocations (3.0%) and 10 IPDs (0.7%). Four additional IPDs occurred during attempted closed reduction, increasing the IPD incidence to 0.96%. We reviewed prior instability history, dislocation management, success of reduction, recognition of IPD, and subsequent rates of revision and complications. The mean follow-up was 2.5 years.

Results:
Nine of 10 IPDs were missed at presentation and thus not treated as such. Sixty-three percent of attempted closed reductions in the emergency department failed and led to 4 IPDs and 1 periprosthetic fracture. Reduction success was associated with the following factors: use of general anesthesia with paralysis (p = 0.02), having the reduction performed by an orthopaedist (p = 0.03), and undergoing only 1 reduction attempt (p = 0.015). Two-thirds of dislocations required revision. The rate of redislocation was 33%, and 5 hips required subsequent revision at a mean of 1.8 years after the initial dislocation.

Conclusions:
We present an evaluation of DM-implant dislocation and dissociation along with management recommendations based on these data. Given the low success and high complication rates of attempted closed reduction and the need for eventual revision, we recommend that all patients with dislocated DM implants be brought to the operating room for closed reduction as well as potential revision if the reduction fails.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
A Systematic Literature Review on Blockchain for Real Estate Transactions: Benefits, Challenges, Enablers, and Inhibitors
Authors: Cunha Florbela Galvão , Silva Miguel Mira da 
Published: July 2023

Abstract
This paper provides a systematic literature review of using blockchain applications for real estate transactions. For this purpose, we analyse the main benefits, challenges that need to be tackled, enablers and inhibitors to the adoption of technology. Due to its perceived features, Blockchain can increase transparency and security, offering trust to the market, reducing the number of intermediaries and, consequently, decreasing transaction costs and time spent. Nevertheless, several challenges need to be overcome for the market to feel secure in adopting the Blockchain technology, especially the ones related to legal enforcement. This paper broadly discusses the benefits and challenges, enablers, and inhibitors raised in peer-reviewed articles published so far. We found that there is a fair possibility of reducing intermediaries and thus decreasing fraud, time spent and costs. Still, this possibility needs to be carefully analysed, and further research must be done to understand which intermediaries can be removed without compromising transactions’ security.
Vitrectomy combined with preoperative intravitreal ranibizumab improves surgical outcomes in patients with proliferative diabetic retinopathy: a systematic review.
Authors: Zhu Anmin , Wu Jiangni , Tang Kai , Cui Yueling , Song Zhaoxi , Tan Wei 
Published: July 2023

Abstract

Background. To summarize the current evidence on the effects of vitrectomy combined with preoperative intravitreal ranibizumab (IVR) on proliferative diabetic retinopathy (PDR) and compare surgical outcomes with preoperative no IVR and preoperative intravitreal conbercept (IVC). Methods. The PubMed, Embase, and Cochrane Library databases published until June 2023 were comprehensively searched for studies that compared vitrectomy combined with preoperative IVR and preoperative no IVR or preoperative IVC in patients with PDR. The intraoperative and postoperative outcomes were extracted from the final eligible studies. The mean difference (MD) and odds ratio (OR) were calculated for continuous and dichotomous variables, respectively, with 95% confidence intervals (CIs). Results. A total of 12 studies with 1190 cases (eyes) were included. In the comparison between the IVR group and the no IVR group, the mean surgery time and the rates of endodiathermy, silicone oil tamponade, intraoperative bleeding, and iatrogenic retinal breaks were lower in the IVR group (MD = -22.24,P < 0.00001; OR = 0.24,P < 0.00001; OR = 0.35,P < 0.00001; OR = 0.17,P < 0.0001; OR = 0.23,P < 0.00001). The mean change in best-corrected visual acuity (BCVA) was more significant in the IVR group at one month (MD = − 0.41,P = 0.005) and three months (MD = − 0.16,P = 0.004) postoperatively. Lower incidences of early (≤ 4 weeks) postoperative vitreous hemorrhage (VH) and postoperative neovascular glaucoma (NVG) were associated with the IVR group (OR = 0.36,P < 0.00001; OR = 0.17,P = 0.0001). There was no significant difference between the IVR and IVC groups in mean BCVA improvement or intraoperative and postoperative outcomes. Conclusions. Compared with preoperative no IVR, preoperative IVR not only reduces surgery time, intraoperative electrocoagulation, silicone oil tamponade, intraoperative bleeding, and iatrogenic retinal breaks but also significantly improves early postoperative BCVA and reduces early postoperative VH and postoperative NVG. In addition, preoperative IVR has similar surgical outcomes to preoperative IVC.
The Cost and Outcome of Treatment of Patients Admitted with Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Shiraz, Southern Iran
Authors: Emadi Mehrnoosh , Taheri Mohammad Hossein , Keshavarz Khosro , Masoompour Seyed Masoom 
Published: July 2023

Abstract
Background
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) decreases lung function and quality of life, and is the main driver of the costs of chronic obstructive pulmonary disease (COPD), the treatment of which in hospital is highly expensive. The present study aimed at determining the costs and outcomes of treatment of the patients hospitalized with AECOPD in Shahid Faqihi Hospital in Shiraz in 2021.
Methods
The present cost-outcome analysis was conducted as a descriptive-analytical, retrospective study. The research tool was a researcher-made form prepared and used to extract the patients' demographic and clinical information as well as the outcome and direct and avoidable medical costs, after consultations with some experts. In order to analyze the collected data, descriptive and inferential statistics indicators (t-tests with two independent groups and analysis of variance) were used and the data were analyzed using Excel and SPSS23 statistical software.
Results
Most of the studied patients were male (70.7%), and 81.3% of the patients had comorbidities. Besides, 76% of the patients had experienced disease exacerbation at most twice a year and 69.3% had been hospitalized < 7 times in the last year. The total average direct and avoidable medical costs were $2620 and $754, respectively. The financial burdens of avoidable antibiotics, stay, ICU, and lung CT scan in 2021 were $1,501, $3,244, $869, and $1,856, respectively. Of all the patients, 80.6% were discharged with full recovery, 7.3% were transferred to ICU, and 10.7% died. The number of hospitalization days, the use of other drugs, and AECOPD with brain disease had a significant effect on the patients’ total medical costs (p < 0.01).
Conclusion
Prevention of AECOPD, especially moderate or severe ones, is potentially cost-effective. Given that exacerbations can impose a large financial burden on patients and insurers, they will certainly lead to resource loss and prevent the resources from being allocated to effective interventions. Therefore, the use of effective clinical guidelines seems necessary to prescribe avoidable services to patients with AECOPD.
Population Structure and Genetic Differentiation Analyses Reveal High Level of Diversity and Allelic Richness in Crop Wild Relatives of AA-Genome Species of Rice (Oryza sativa L.) in India
Authors: Mahendran Aswin , Yadav Mahesh C. , Tiwari Shailesh , Bairwa Rakesh Kumar , Krishnan S. Gopala , Rana Mukesh Kumar , Singh Rakesh , Mondal Tapan Kumar 
Published: July 2023

Abstract

With a view to explore genetic diversity in crop wild relatives of AA-genome species of rice (Oryza sativaL.) in India, we analyzed 96 accessions of 10Oryzaspecies for 17 quantitative traits with 45 microsatellite markers. The morpho-quantitative traits revealed high extent of phenotypic variation within and between species. Shannon-Weiner's diversity index (H′) also confirmed the presence of high level of genetic variation for both within species, inO. nivara(H′=1.09) andO. rufipogon(H′=1.12), and between species (H′=1.31). Principal component (PC) analysis explained 79.22% variance with five PCs. Among the traits related to phenology, morphology and yield, days to heading showed strong positive association with days to 50% flowering (r = 0.99). However, filled grains per panicle revealed positive association with spikelet fertility (0.71) but negative with awn length (-0.58) and panicle bearing tillers (-0.39). Cluster analysis grouped all the accessions into three major clusters. Microsatellite analysis revealed 676 alleles with mean of 15.02 alleles per locus and 0.83 mean polymorphism information content. UPGMA dendrogram separated wild rice accessions at 0.10 similarity value and delineated 96 accessions into four major clusters. Structure analysis revealed four subpopulations; first and second subpopulations comprised only ofO. nivaraaccessions, while third subpopulation included bothO. nivaraandO. rufipogonaccessions. Molecular variance among the populations was 11.0%, whereas it was 70.0% among genotypes and 19.0% within genotypes. The high level of molecular and morphological variability detected in the germplasm of crop wild relatives could be utilized for genetic improvement of cultivated rice.
Factors influencing the effectiveness of public health emergency preparedness: a cross-sectional study from China
Authors: Zhuge Ruiqian , Liu Jingjing , Chang Na , Wang Xing , Qi Xinye , Kang Zheng , Wu Qunhong 
Published: July 2023

Abstract
To identify the factors that impair the effectiveness of public health emergency drills in China by assessing staff perspectives for improvements, we conducted a cross-sectional survey in Heilongjiang, a province in northeastern China by stratified cluster sampling. The staff perceived the inadequacy of equipment and facilities for scenario training (practice drills) to be the most important factors that impair response capacity. Conversely, integrated knowledge and skill-oriented emergency skills were enhanced during scenario training, as well as if such training were repeated periodically. We found that funding constraints, lack of departmental coordination, and insufficient leadership attention adversely affect the response capacity and effectiveness. A greater focus on emergency training and participation in simulated drills improves the preparedness of public health personnel to face crises. We consider the equipping of CDC staff with practical skills to face complex emergencies a priority, which will require a strategic decision to increase funding for equipment, leadership training support, and effective emergency coordination.
Multiple genetic control of anti-COVID-19 vaccine response by HLA locus
Authors: Colombo Francesca , Esposito Martina , Minnai Francesca , Copetti Massimiliano , Miscio Giuseppe , Perna Rita , Piepoli Ada , De Vincentis Gabriella , Benvenuto Mario , D'Addetta Paola , Croci Susanna , Baldassarri Margherita , Bruttini Mirella , Fallerini Chiara , Brugnoni Raffaella , Baggi Fulvio , Corsini Elena , Ciusani Emilio , Andreetta Francesca , Dragani Tommaso , Fratelli Maddalena , Carella Massimo , Mantegazza Renato , Renieri Alessandra 
Published: July 2023

Abstract

Since the beginning of the anti-COVID-19 vaccination campaign, it has become evident that vaccinated subjects exhibit considerable inter-individual variability in the response to the vaccine that could be partly explained by host genetic factors. A recent study reported that the immune response elicited by the Oxford-AstraZeneca vaccine in individuals from the United Kingdom was influenced by a specific allele of the human leukocyte antigen geneHLA-DQB1. We performed a genome-wide association study to investigate the genetic determinants of the antibody response to the Pfizer-BioNTech vaccine in an Italian cohort of 1,351 subjects. We confirmed the involvement of the HLA locus and observed significant associations with variants inHLA-Agene. In particular, the HLA-A*03:01 was the most significantly associated with serum levels of anti-SARS-CoV-2 antibodies. These results support the hypothesis that HLA genes modulate the response to anti-COVID-19 vaccines and highlight the need for genetic studies in diverse populations.
A Dynamic Fuzzy Rule-Based Inference System: Fuzzy Inference with Semantic Reasoning
Authors: Shoaip Nora , El-Sappagh Shaker , Abuhmed Tamer , Elmogy Mohammed 
Published: July 2023

Abstract
The challenge of making flexible, standard, and early medical diagnoses is significant. It has some limitations that it hasn't fully overcome. First, the diagnosis rules established by medical experts or learned from a trained dataset prove static and too general. It leads to decisions that lack adaptive flexibility when finding new circumstances. Secondly, medical terminological interoperability is highly critical. It increases realism and medical progress. Avoid isolated systems and the difficulty of data exchange, analysis, and interpretation. Third, criteria for diagnosis are often heterogeneous and changeable. It includes symptoms, patient history, demographic, treatment, genetics, biochemical, and imaging. Symptoms represent a high-impact indicator for early detection. It is important that we deal with these symptoms differently. It has a great relationship with semantics, varies widely, and has linguistic information. Symptoms cannot be ignored or fixed with variables with specific values. Negatively affects early diagnosis decision-making. Under the circumstances, the diagnosis is made solo on imaging and various medical tests. In this case, although the accuracy of the diagnosis is very high, can these decisions be considered an early diagnosis or prove the condition is deteriorating? Our contribution in this paper is to present a real medical diagnostic system based on semantics, fuzzy, and dynamic decision rules. We attempt to integrate ontology semantics reasoning and fuzzy inference. It promotes fuzzy reasoning and handles knowledge representation problems. In complications and symptoms, ontological semantic reasoning improves the process of evaluating rules in terms of interpretability, dynamism, and intelligence. A real-world case study, ADNI, is presented involving the field of Alzheimer's disease (AD). The proposed system has indicated the possibility of the system to diagnose AD with an accuracy of 97.2%, 95.4%, 94.8%, 93.1%, and 96.3% for AD, LMCI, EMCI, SMC, and CN, respectively.