bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eryngium bourgatii Extract Inhibits Iron Corrosion and Bacterial Growth in Fresh and Marine Water Media
Authors: Zaki Salma Hassan , Hassouna Mohammed Salah El-Din , Hefnawy Ahmed , Helmi Shacker 
Published: November 2022

Abstract

Bi-functional effect ofEryngium bourgatiiextract on inhibiting iron corrosion and bacterial growth in both fresh and marine water media was studied using weight loss measurements for corrosion inhibition and well diffusion method for bacterial growth inhibition. At 150 mg/100 mL inhibition efficiency of corrosion reached 95% and 91% in fresh and marine medium respectively. The results showed clearly thatE. bourgatiiethanol-hexane crude extract is strongly active in both media. Three quantitative methods were applied for measuring corrosion rate of iron metal cylinders: relative weight loss, iron released in the medium, and turbidity. Statistical analyses showed that the three methods are comparable and any method of the three could be used to measure corrosion rate. Experimental data obeyed Langmuir isotherm model. Optical and scanning electron microscopy (SEM) images revealed the smoothness and homogeneity of adsorption layer on the iron nail surface. Regarding bacterial growth inhibition at ratio of 150 mg/100 mL medium was found to be effective.
Phylogeny of transferable oxazolidinone resistance genes and homologs
Authors: Kardos G. , Laczkó L. , Kaszab E. , Timmer B. , Prépost E. , Bányai K. 
Published: November 2022

Abstract
This study aims at delving into the phylogenetic origin of transmissible oxazolidinones resistance mechanisms conferring cross-resistance to other drugs of human and veterinary importance. Amino acid sequences of the five cfr ribosome methylases, optrA and poxtA proteins were used as queries in search against 219549 bacterial genomes in the NCBI RefSeq database. Hits with > 40% amino acid identity and > 80% query coverage were aligned and phylogenetic trees were reconstructed. All five cfr genes produced very similar trees, with rlmN housekeeping ribosome methylases basal to sister groups of S-adenosyl-methionine dependent methyltransferases from Deltaproteobacteria and Actinomycetia, including antibiotic producer Streptomyces and of the monophyletic group of cfr proteins. Basal branches from the latter contained paenibacilli and other soil bacteria; then split to the clades [cfr(C):cfr(E)] and [[cfr:cfr(B)]:cfr(D)], always with various Bacillaceae in their stems. Lachnospiraceae were encountered in basal branches of both optrA and poxtA trees. The ultimate origin of cfr genes is rlmN housekeeping methylases, which evolved into a suicide-avoiding methylase in antibiotic producers; a soil organism (Lachnospiraceae, Paenibacilli) acted probably as agent of transfer into pathogens. In case of optrA, the porcine pathogenic Streptococcus suis was present in all branches, while closest to poxtA were proteins from Clostridia.
Cost effectiveness analysis of expanding tuberculosis preventive therapy to household contacts aged 5-14 years in the Philippines
Authors: Ilaiwy Ghassan , Keim-Malpass Jessica , Tuppal Romella , Ritua Alexander F. , Bassiag Flordeliza R. , Thomas Tania A. 
Published: November 2022

Abstract
Background: Children aged 5-14 years who are household contacts of index pulmonary TB cases have limited coverage for TB preventive therapy (TPT) due to variable uptake of the national guideline recommendations in the Philippines. We conducted a cost effectiveness analysis evaluating the expansion of latent TB testing and treatment among pediatric (5-14 years) household contacts of index TB patients in the Philippines.
Methods: Using a Markov state transition model, eligible household contacts (HHCs) age 5-14 years are screened for latent TB infection (LTBI) with either the tuberculin skin test (TST) or interferon gamma release assay (IGRA). Those who test positive are then simulated to receive one of the following TPT strategies: 6 months of daily isoniazid (6H), 3 months of weekly isoniazid and rifapentine (3HP), 3 months of daily isoniazid plus rifampicin (3HR) and the current practice of no testing or treatment for LTBI (NTT). The analysis assesses the projected cost and quality-adjusted life years (QALY) gained for every strategy from the perspective of the Philippines public healthcare system over a time horizon of 20 years. The total cost and gain in QALYs are presented as an incremental cost-effectiveness ratio (ICER) comparing cost per QALY gained for each strategy over NTT.
Results: Our model estimates that expanding TPT coverage to HHCs aged 5-14 years would be cost effective with incremental cost-effectiveness ratios (ICERs) ranging from 1,024 $/QALY gained when using TST and 6H (Uncertainty range: 497 - 2,334) to 2,293 $/QALY gained when IGRA and 3HR are used (Uncertainty range: 1,140 – 5,203). IGRA cost would have to drop to $5.50 to achieve similar results to strategies using TST. These findings were robust to sensitivity analyses over a wide range of parameter values.
Conclusion: Expanding TPT coverage to HHCs aged 5-14 years is cost effective when using TST and 6H closely followed by a strategy combining TST and 3HP. IGRA cost will require significant reduction to achieve results similar to TST.
Decimal to Excess-3 and Excess-3 to Decimal Code Converters in QCA Nanotechnology
Authors: Fouladinia Farhad , Gholami Mohammad 
Published: November 2022

Abstract
In this paper, two digital code converters are presented, excess-3 to decimal, and decimal to excess-3. The tile method is used to design proposed circuits in quantum-dot cellular automata (QCA) nanotechnology. The tile method gives a unique block for the majority and NOT gates. This property facilitates integrating circuits and since the NOT gate is not used in the tile method, the proposed circuits can do their work as fast as possible. Both of the proposed code converters has 1.75 clock cycles delay and have an energy dissipation of about 100meV. In the excess-3 code to decimal converter 516 cells are used, which occupy an area equal to 0.43µm2 also in the decimal to excess-3 code converter. 321 cells are used, which occupy an area equal to 0.28 µm2.
The effect of friction and wear behavior on the signal transmission of brush-ring system during electrical contact sliding
Authors: Yuan Youlu , Hu Tao , Song Lizhi , Lv Lei , Shuang Jiajun , Wu Haihua , Liu Jianyong , Zhang Yi 
Published: November 2022

Abstract
Copper-graphite brush and slip-ring systems are often used to transmit electrical energy and signal between moving and stationary parts. At present, the research on the brush-ring system mainly focuses on power transmission, while on signal transmission is relatively lesser. In this study, the effects of friction and wear behavior on signal waveform distortion were in-situ analyzed using a custom-designed tribotester, which can specially synchronize the slip-ring rotation period with the input signal waveform. Results were analyzed comprehensively from tribological and electrical aspects to find out the key factors, including friction coefficient, friction temperature, contact resistance, surface morphology, roughness, wear particles, and compositions. It was found that the distortion of signal waveform is mainly affected by the friction film. During the sliding electrical contact motion, the increase of friction film will increase the contact resistance, which in turn increases the signal waveform distortion. At the same time, under the normal load and shear force, the friction film moves along the sliding direction, hence causing the signal phase angle to shift. From a tribological point of view, the friction coefficient and temperature decrease with increasing the friction film. So, for the brush-ring system, the formation of friction film is good for the friction stability but bad for signal transmission.
Full title: Managing the fear of childbirth, developing a care program: a multi-method study
Authors: Bakhteh Azam , Jaberghaderi Nasrin , kolivand Mitra , Rezaei Mansour , Motaghi Zahra 
Published: November 2022

Abstract
Background: Despite the importance of fear of childbirth and the necessity of implementing appropriate care methods to increase women's willingness to childbearing and their more tendency to perform natural childbirth, there is no clear process in this field in the care programs of the country's health system. The present study was designed with the aim of developing a guideline for managing the fear of childbirth in the current context.
Methods: This is a multi-method study which was conducted in five stages within the framework of the National Institute for Health and Care Excellence (NICE) guideline. A research committee consisting of five focal and 16 secondary members was formed. The stages included determining the scope of the study, developing guideline (a qualitative study and a systematic review, triangulation of the data, and producing a preliminary draft), consultation stage (validation of the protocol Using nominal group method), as well as revision and publication stages.
Results: The clinical guideline of Managing the fear of childbirth with 190 evidence-based recommendations was developed in seven main areas, including the Pre-pregnancy period, pregnancy period, making childbirth more pleasant, training empowerment of employees, improving the service delivery system, social support and clinical guide evaluation methods.
Conclusions: We are hoping by applying this clinical guideline in maternal health care settings to move towards an integrated care plan for fear of child birth in the context of our health system. Health care organizations should support to form multi-specialty teams to care for mothers with fear of childbirth. Through holistic care, they can constantly examine the psychological needs of pregnant mothers, including the fear of childbirth, along with their other needs, and manage them correctly.
Machine Learning-based Ensemble Modeling for Mountain Hazards Susceptibility Assessment
Authors: Wang Zhijun , Chen Zhuofan , Ma Ke , Zhang Zuoxiong 
Published: November 2022

Abstract
In mountain hazard susceptibility mapping and assessment using machine learning models, the choice of model parameters is a significant factor in determining the accuracy of the model prediction. This work provides a novel method for developing a random forest (RF)-based prediction model by embedding hyperparametric optimization ensembles. The performance of the RF model is enhanced by employing a Bayesian optimization (Bayes) method and a Genetic algorithm (GA) and verified in the Wudu section of the Bailong River basin, China, a typical mountainous hazard-prone area. Fourteen influencing factors were selected in conjunction with field measurements to characterize the cascading ''collapse-landslide-debris flow'' hazard chains in the study area, and datasets for training (80%) and validation (20%) models were constructed for 378 hazard sites. Based on multicollinearity analysis and Relief-F two-step evaluation, typical statistical performance metrics such as the confusion matrix, recall, precision, accuracy, F1 and area under the operating characteristic curve (AUC) of individuals were used to evaluate model performance. Our results revealed that all the 3 models (i.e., RF, GA-RF, and Bayes-RF) performed well (AUC: 0.89 ~ 0.92), but the Bayes-RF model performed the best (AUC = 0.92), which can be used as a highly accurate and robust mountain hazard susceptibility assessment model applicable in the study area and other regions. Meanwhile, the generated susceptibility map can guide stakeholders in making appropriate mountain hazard prevention and control measurements in the region.
Multi-Channel 2D-CNN And Attention-Based BiLSTM Method for Sentiment Analysis on Low-Resource Ewe Language
Authors: Agbesi Victor Kwaku , Wenyu Chen , Ukwuoma Chiagoziem C. , Kuadey Noble A. , Browne Judith A. , Agyemang Isaac Osei 
Published: November 2022

Abstract
The unavailability of annotated dataset for a low-resource Ewe language makes it difficult to develop an automated system to appropriately evaluate public opinion on events, news, policies, and regulations in the language. In this study, we collected and preprocessed a low-resourced document-level Ewe sentiment dataset based on social media comments on five (5) different topics. Additionally, we generate three (3) word embedding models (Global vectors, word-to-vector and continuous bag-of-words ) for exploiting sentiment representation based on the dataset. We further proposed a novel multi-channel two-dimensional (2D) convolutional neural network fuse with attention-based-bidirectional long-short term memory (MC2D-CNN+BiLSTM-Attn) to detect the exact sentiment feature from the Ewe document. The proposed method can efficiently describe the following emotions: anger, annoyance, happiness, surprise, and, sadness from the newly developed dataset. Extensive experiments indicate that MC2D-CNN+BiLSTM-Attn method marginally outperformed other known state-of-the-art methods. Results show that in detecting the precise sentiments from raw Ewe textual context, the BiLSTM incorporating Glove outperforms word2vec and CBOW embedding with an accuracy of 0.72714. Furthermore, Attn+BiLSTM and Multi-channel CNN methods incorporating word2vec embedding layer perform better than Glove and CBOW embedding with an accuracy of 0.8483 and 0.8965 while our proposed technique with the same word2vec embedding recorded 0.9493.
Debridement, decompression and interbody fusion by using biportal spine endoscopy on patients diagnosed with lumbar spine tuberculosis: 1 year follow-up
Authors: Yu Yang , Xie Yizhou , Zhou Qun , Wang Yongtao , Feng Chengzhi , Fan Xiaohong 
Published: November 2022

Abstract
Objectives
The study is aimed to evaluate clinical outcomes of debridement, decompression and interbody fusion by using biportal spine endoscopy to treat patients diagnosed with lumbar spine tuberculosis (LST).
Methods
Forty patients diagnosed with LST who underwent debridement, decompression and interbody fusion by using biportal spine endoscopy between January 2020 to March 2021 were studied. The operation time, blood loss, complication rate, fusion rate, Visual Analog Scale (VAS), Oswetry disability index (ODI), Japanese Orthopedic Association (JOA), Erythrocyte Sedimentation Rate (ESR), C-reactive protein (CRP) and kyphotic Cobb’s angle were measured to explore the effects on LST patients.
Results
The patients were followed up for 12–16 months, with a mean of 14.6 months. The mean operation time was 223.4 ± 94.4 min (range, 140–410 min), together with 235.0 ± 190.5 cc of blood loss (range, 120–700 cc). From preoperation till last phase of follow-up, the mean preoperative VAS (5.86 ± 0.86) and ODI (74.29 ± 6.26) decreased significantly to 1.57 ± 0.65 and 8.29 ± 3.05, respectively. Additionally, the mean JOA increased from preoperative (10.29 ± 2.58) to (24.93 ± 1.86). Meanwhile, the mean preoperative ESR and CRP (74.36 ± 8.18 and 71.28 ± 8.58, respectively) decreased to average values. The preoperative kyphotic Cobb’s angle (21.40 ± 2.22 ) decreased to (9.86 ± 0.76 ) postoperatively. However, the kyphotic correction remained unchanged at the last phase of follow up. Furthermore, the fusion rate was identified to be 90%. Besides, the complication rate was 7.3% ( three cases of cerebrospinal fluid leakage).
Conclusion
Debridement, decompression and interbody fusion by using biportal spine endoscopy might be an ideal options to treat LST patients. More long term and multi-samples studies are needed to further verify the perspective.
Sodium butyrate ameliorates fluorosis-induced neurotoxicity by regulating hippocampal glycolysis in vivo
Authors: Li Yangjie , Wang Zhengdong , Li Jing , Yu Yang , Wang Yuan , Jin Xiaoxia , Dong Yun , Liu Qingsong , Duan Xiaoxu , Yan Nan 
Published: November 2022

Abstract
Fluorosis can induce neurotoxicity. Sodium butyrate (SB), a histone deacetylase inhibitor, has important research potential in correcting glucose metabolism disorders and is widely used in a variety of neurological diseases and metabolic diseases, but it is not yet known whether it plays a role in combating fluoride-induced neurotoxicity. This study aims to evaluate the effect of SB on fluoride neurotoxicity and the possible associated mechanisms. The results of HE staining and Morris water maze showed that in mice exposed to 100 mg/L fluoride for three months, the hippocampal cells arranged in loosely with large cell gaps and diminished in number. In addition, 1000 mg/kg/day SB treatment improved fluoride-induced neuronal cell damage and spatial learning memory impairment. Western blotting showed that the abundance of malate dehydrogenase 2 (MDH2) and pyruvate dehydrogenase (PDH) in the hippocampus of mice increased after fluorosis, while the abundance of pyruvate kinase M (PKM), lactate dehydrogenase (LDH) and hexokinase (HK) decreased. SB treatment reversed the decreased glycolysis in the hippocampus of fluorosis mice. We suspected that the PI3K/AKT/HIF-1α pathway may be involved in mediating the protective effects of SB against fluorosis invasion in the hippocampus. These results suggested that SB could ameliorate fluorosis-induced neurotoxicity, which might be linked with its function in regulating glycolysis as well as inhibition of the PI3K/AKT/HIF-1α pathway.
Prediction for Nonlinear Time Series by Improved Deep Echo State Network Based on Reservoir States Reconstruction
Authors: Yu Qiufeng , Zhao Hui , Li Li 
Published: November 2022

Abstract
Echo state networks (ESN) have received extensive attention because of their superior performance in nonlinear time series forecasting tasks. Most of the research on ESN focuses on extracting features from time series and improving the activation function to enhance prediction accuracy. In this study, we creatively propose recombining the obtained features to improve the prediction accuracy further. To this end, two state reconstruction methods are developed based on the existing features in the ESN. Additionally, ESN is very sensitive to the setting of hyperparameters, resulting in its unstable performance of time series prediction. Thus, we adopt the Self-Normalizing Activation (SNA) function to reduce the model’s sensitivity to hyperparameters and improve its stability. Then our proposed model is compared with the popular improved ESN models like DeepESN, GroupESN, and Grouped DeepESN on four time series datasets. The results show that our model has the best prediction performance.
Clinical practice guidelines for the pharmacological treatment of chronic asthma in a paediatric population – A Systematic Review Protocol
Authors: Addae-Kyereme Christine , Chandanani Mehak , Shah Aishwarya , Bantounou Maria Anna , Kumar Niraj , Turner Stephen 
Published: November 2022

Abstract
Background: Chronic asthma is one of the most common childhood conditions. However, discrepancies can be identified amongst treatment recommendations made by clinical practice guidelines for the management of this condition. As such, the proposed systematic review will aim to summarise and compare paediatric chronic asthma guideline recommendations, to promote the development of cohesive guidelines for the appropriate management of this patient cohort.
Methods: Our proposed systematic review will identify guidelines for chronic paediatric asthma management. The MEDLINE, Embase and Scopus databases were searched using synonyms of the following keywords: “asthma” AND “guidelines” AND “treatment” AND “pediatrics”.The quality of included studies will be assessed using the Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument. Narrative synthesis will be used to describe the quality and recommendations of the guidelines.
Discussion: The results of this systematic review will enhance clinical decision-making in the management of paediatric chronic asthma, and will additionally identify heterogeneity in guidelines internationally. These outcomes may minimise this heterogeneity and promote the development of an established common treatment matrix in future guidelines. Additionally, this systematic review will aid researchers in identifying gaps in knowledge and further avenues for clinical study. The results of this systematic review will be published in a peer-reviewed journal and presented at conferences.
Synthesis, characterization, and application of nanohybrid formed by mixing carboxylated cellulose nanocrystal and zinc nitrate hexahydrate by precipitation method using Oxytenanthera abyssinica as raw material
Authors: Worku Limenew Abate , Bachheti Rakesh Kumar , Tadesse Mesfin Getachew , Bachheti Archana 
Published: November 2022

Abstract
In this study, cellulose from Oxytenanthera abyssinica was hydrolyzed to create carboxylated cellulose nanocrystals in a solution of citric acid and sulfuric acid. Afterward, nanohybrids were synthesized using carboxylated cellulose nanocrystals, zinc nitrate hexahydrate for photocatalytic degradation, and antibacterial and antioxidant properties. The experimental results were characterized using FTIR, XRD, SEM, and UV-Vis spectroscopy. Data from SEM, XRD, DLS, and FTIR spectra showed that ZnO nanoparticles were loaded on carboxylated CNC to form a nanohybrid of CNC/ZnO with mean nanoparticles size of 164.18 nm and size distribution between 94–351 nm. The data showed CNC/ ZnO nanohybrid had higher antibacterial, photocatalytic and antioxidant activities than CNC. The higher antibacterial activity was observed against both grams positive (Klebsiella pneumonia and Escherichia coli) and gram-negative bacteria (Staphylococcus epidermidis and Staphylococcus aureus) with an inhibition zone of 26.00±1.00 to 41.33±1.15 mm in comparison with Ciprofloxacin. The maximal amount of methylene blue photodegradation (about 91.52%) was seen after 75 minutes of exposure to a UV lamp. 53.151.03% DPPH radical scavenging actives with IC50 value of 117.66 µm/ml were obtained at 125 µm/ml concentration of CNC/ZnO sample. Biomedical and environmental applications of cellulose are limited by its extremely low antibacterial, photocatalytic, and antioxidant properties. Therefore, this study was done to enhance these properties by synthesizing a nanohybrid of cellulose nanocrystals from cellulose produced from Oxytenanthera abyssinica and ZnO inorganic salt.
A BRAT1 synonymous mutation affecting exon splicing leads to lethal neonatal rigidity and multifocal seizure syndrome: A Chinese case report.
Authors: Luo Zhihua 
Published: November 2022

Abstract
Rigidity and Multifocal Seizure Syndrome, Lethal Neonatal (RMFSL, OMIM#614498), is caused by mutations of the BRAT1 gene. Our patient had the typical syndromes of RMFSL, and Trio whole exome sequencing (trio-WES) identified a homozygous synonymous variant (BRAT1:C.1395(exon10)G > C). Given that the pathogenicity of synonymous mutation (p.Thr465Thr) is most likely underestimated, a further transcriptional study of the father showed that C.1395(exon10)G > C mutation would result in abnormal splicing, which caused the exon 10 skipping and affected protein features. We first confirmed the pathogenicity of the synonymous mutation of BRAT1 using a transcriptional study.