bluuebunny/crossref_metadata_2025_split huggingface dataset:
Full genome characterization of feline and porcine origin G3P[9] rotavirus A strain in a child with acute gastroenteritis in Japan
Authors: Fukuda Yuya , Araki Kaoru , Hara Megumi , Yamashita Yuji , Adachi Shuhei , Honjo Saho , Togashi Atsuo , Hirakawa Satoshi , Fukumura Shinobu , Yamamoto Masaki , Tsugawa Takeshi 
Published: August 2022

Abstract
The group A rotavirus (RVA) G3P[9] is a rare genotype isolated in humans and cats. We isolated only one G3P[9] strain RVA/Human-wt/JPN/R11-035/2014/G3P[9] among 487 stool samples in our rotavirus surveillance of children with gastroenteritis in Japan, during 2014–2015. The R11-035 strain was isolated from a 2 year old girl presenting with vomiting and diarrhea who had daily contact with cats. She had type A histo-blood group antigen, which is reported to be related to rare human P[9] rotavirus infection. Full genome sequencing revealed that the R11-035 strain had AU-1-like constellations, except for the NSP3 (T) gene, G3-P[9]-I3-R3-C3-M3-A3-N3-T1-E3-H6. Phylogenetic analysis of all genome segments, except for the NSP3 gene, showed that the R11-035 strain formed distinct clusters and had high nucleotide sequence identity with human/feline-like strains. We postulate that the R11-035 strain was directly transmitted from a cat to the patient. Interestingly, the NSP3 gene of R11-035 was found to cluster closely with Taiwanese porcine strains. Since the remaining genes of R11-035 were closely related to those of human/feline-like human strains, it is likely that R11-035 acquired its NSP3 gene through intergenotype reassortment events with porcine strains before being transmitted to humans. The CAU14-1-262 strain, isolated from a 2 year old girl in South Korea in 2014, is the only reported strain having the same genome constellations as R11-035. These two strains had extremely high nucleotide sequence identity in all 11 gene segments (99.3–99.9%). It is therefore likely that strains with these genome sequences are circulating in East Asia.
Colour Sorting of Red Oak, Yellow Poplar and Maple Veneers using Self-Organizing Map: Comparisons between Different Camera Genres
Authors: Liew Shaer Jin , Ng Siew Cheok , Mustapa Mohd. Zamakhsyary , Usop Zuraini , Fauthan Mohd. 'Akashah , Mahalil Khairuddin , Tan Chiat Oon 
Published: August 2022

Abstract
Colour sorting is a vital process in manufacturing of high-quality wood products, however hitherto a relatively manual process in majority of facilities in Malaysia. Automation is an ideal solution; however, costs are prohibitive for small-medium industries (SMI). Thus, this project aims to produce a flexible solution that can cater for different scales of manufacturers. Three cameras of different price ranges are used: i) Hikrobot® MV-CE200-10UC (Hikrobot), ii) Logitech® C920 (Logitech), and iii) Sony® RX0 II (Sony). Having set up a veneer imaging prototype, human sorted images of American red oak (Quercus rubra), yellow poplar (Liriodendron tulipifera), and maple (Acer spp.) are acquired. After performing image preparations and calibrations, 26 features are extracted from each image. The features are based on the average and standard deviation of the wood basal colour and wood grain colour. The salient features are obtained using the Sequential Forward Selection (SFS) method. The most salient features are then used to train a Self-Organizing Map (SOM), and the resulting maps are observed. From results, it is affirmed that the colour of the basal colour is highly correlated with human sorted colour groups. As expected, Hikrobot topped the charts being of industrial grade. It is interesting that Logitech exhibited comparable performance. Sony performed the worst due to software limitations. This proposed system can achieve accuracy of 89.0% for red oak, 94.3% for poplar and 96.4% for maple. This research will assist the SMI to develop an affordable vision system for colour sorting.
Mental health literacy and associated factors among residents living Dilla town, Gedeo zone, Ethiopia, 2022
Authors: Ababu Henok , Kassaw Chalachew , Temesgen Kiber , Sileshy Bethelhem , Negash Misrak 
Published: August 2022

Abstract
Background
Mental health literacy includes the ability to recognize the signs of mental disorders, understand their origins and risk factors, have a positive attitude about mental health, and have access to both professional help and mental health information. In developing country, mental illness is not treated in hospitals due to lack awareness about mental health, despite there is a shortage of studies conducted about mental health literacy. Therefore, this study aimed to assess the prevalence of mental health literacy and associated factors among residents living in Dilla Town, Gedeo Zone, South-Ethiopia 2022.
Methods
A community based cross sectional study design was employed from June to July 2022 G.C among 422 residents living in Dilla town and used a systematic random sampling to select households. Interviewer administered structured questionnaire was used to collect the data and analyzed using a logistic regression analysis model. A 35 item mental health literacy scale was used to assess the outcome variable.
Result
According to the study's findings, 35.1% of participants had good mental health literacy. Being educated, having strong social support, not smoking and not consuming alcohol had significant and positive association with mental health literacy [AOR (95% C.I, 1.183 (1.009, 1.386)], [AOR (95% C.I, 1.748 (1.618, 4.904)], [AOR (95% C.I, 1.684 (1.564, 6.831)], [AOR (95% C.I, 1.491(1.364, 3.664)] respectively.
Conclusion
This study revealed that only one third of the respondents had good mental health literacy. Those respondents with good psychosocial profile had better awareness and attitude about mental illness. As a result, there is a need of collaborate work with stakeholders to enhance the mental health awareness. Moreover, it is better to have a population-level intervention programs aimed to increase the literacy about mental health.
Applying Data Envelopment Analysis (DEA) to Optimize the Fertilizer and Pesticides Consumption in Wetland Rice Cultivation in Malaysia
Authors: Mairghany Modather , Elsoragaby Suha , Yahya Azmi , Adam Nor Maria , Shukery Mohamad Firdza Mohamad 
Published: August 2022

Abstract
Fertilizers and pesticides are the most effective and costly inputs in rice production in wetland rice cultivation in Malaysia. Farmers need to know the optimum amount of these inputs to produce the same rice yield. In this study, Data Envelopment Analysis (DEA) was used to estimate the farm input efficiencies of rice production based on seven inputs including N, P, K, and chemicals pesticides liquid insecticides, solid insecticides, fungicides, and herbicides, and one output of rice grain yield. The study aimed to benchmark the inefficient farms to the efficient farms to optimize the fertilizer and pesticide inputs, and also maximize the rice grain yield output. We used three main models Charnes–Cooper–Rhodes (CCR), Banker–Charnes–Cooper (BCC), and Slacks-Based Measure (SBM) models in both direction input and output-oriented to evaluate the performance of every model and determine the effective one. The technical, pure technical, scale and cross efficiencies were calculated for rice production through the three models. The results revealed the average technical were (0.89 and 0.95) for CCR, (0.76 and 0.87) for SBM-I-C, (0.89 and 0.95) for SBM-O-C, and pure technical efficiencies were (0.95 and 0.97) for BCC-I, (0.97 and 0.99) for BCC-O, (0.79 and 0.9) for SBM-I-V, and (0.96 and 0.99) for SBN-O-V for first and second season respectively. The results showed that out of the total number of farms the efficient farms were 16.7% and 43.3% for CCR models, and 26.7% and 56.7% for BCC models for the first and second season respectively.
Development and Evaluation of Rizatriptan Benzoate-loaded Nanostructured Lipid Carriers for the Treatment of Migraine
Authors: Varia Umang , Soni Vishwa , Katariya Hitesh , Detholia Krunal , Jadeja Mukesh , Joshi Disha 
Published: August 2022

Abstract
The aim is to develop and evaluate rizatriptan benzoate (RB) loaded nanostructured lipid carriers (NLCs) that might improve oral bioavailability. NLC was prepared using High-Speed Homogenization (HSH) coupled with the ultrasonication method. Process parameters were selected on basis of the trial-and-error method which is time for homogenization, speed of homogenization, and time for sonication. Using a Design expert, 32 Full Factorial design was prepared using solid lipid to liquid lipid ratio and concentration of surfactant as independent variables. RB-NLC was evaluated on basis of particle size, %Entrapment Efficiency (EE), Zeta potential, Transmission electron microscopy (TEM), In-Vitro permeation study, and Ex-vivo permeation study. Confocal Laser Scanning Microscopy was performed to study the uptake of RB-NLC through M-Cells, and Peyer's Patches. RB-NLC dispersion was converted into free-flowing lyophilized powder using cryoprotectant which is trehalose and in vitro permeation study was performed. Among all the batches of RB-NLC, the Optimized batch was evaluated. The optimized formulation showed a particle size of 412.8 ± 1.15nm with 0.261 PDI and − 36.6mV zeta potential. It showed 84.26 ± 1.03% EE. TEM image showed a spherical shape and smooth surface area. In-Vitro and Ex-vivo studies showed 97.21 ± 0.36%CDR up to 22 hours & 61.02 ± 1.25%CDR up to 6 hours. Lyophilized powder showed 96.37 ± 0.36%CDR up to 22 hours. Based on the data we can conclude that RB-NLC increases the permeation and it may increase its Bioavailability (BA). Lyophilized powder of RB-NLC showed a sustained release pattern and it may reduce the dosing frequency of the drug.
Study of the Effect of Accelerated Aging by Sea Water on the Mechanical and Chemical Properties of High Density Polyethylene Bottles
Authors: Elkori Rabiaa , LAMARTI AMAL , Salmi Houda , Had Khalid El , Hachim Abdelilah , Yamari Imane 
Published: August 2022

Abstract
The increase of plastic waste in the marine environment has several ecological, human and marine biota problems. In this paper, an accelerated artificial ageing study in seawater was performed, after immersion of samples extracted from high density polyethylene bottles for several ageing times and under two different temperatures. The degradation of the mechanical properties of HDPE at different ageing conditions was studied using static tensile and compression tests. The absorption of seawater by the samples is analyzed by a gravimetric procedure, and Fourier transform infrared spectrometry (FTIR). A further surface analysis of the samples during accelerated ageing was shown by scanning electron microscope SEM. The results obtained show that the high density polyethylene loses its ductility and changes from ductile to brittle failure. Fourier Transform Infrared Spectrometry (FTIR) analysis shows an increase in crystallinity over the ageing period.
Sulfated polyborate catalyzed enamines, enaminones synthesis via Methyl Ketones, Active Methylenes, and DMF-DMA activation: Application to Imatinib, Nilotinib intermediates †
Authors: Bandivadekar Priyanka V. , Gavali Kanchan D. , Chaturbhuj Ganesh U. 
Published: August 2022

Abstract
An activation of methyl ketones or active methylenes and N,N-dimethylformamide dimethyl acetal (DMF-DMA) at 110 °C by sulfated polyborate under solvent-free conditions has been developed for enamines and enaminones synthesis. Selected Brønsted acid, optimized reaction conditions, and easy separation method lead to 82-97% yield, making this process cost-effective and eco-friendly. We chose boric acid for scale-up activity in the interest of readers and industries. The optimized reaction condition was applied to demonstrate a 10 gm scale-up for intermediate of Imatinib and Nilotinib with 80% yield from 3-acetylpyridine. This method is extendable to produce Ocinaplon intermediate using 4-acetyl pyridine as starting material.
Efficacy of Dual Antiplatelet therapy depending on hsCRP levels and CYP2C19 Genotype
Authors: Xue Jing , Yang Ming , Cheng Aichun , Xu Jie , Pan Yuesong , Li Jiejie , Yan Hongyi , Meng Xia , Zheng Lemin , Wang Yongjun 
Published: August 2022

Abstract
Background
Both high-sensitive C-reactive protein (hsCRP) and CYP2C19 genotypes are independent predictors of clinical outcomes after ischemic stroke. We aim to evaluate the association of CYP2C19 loss-of-function alleles (LoFA) carrying status with the effects of dual/single antiplatelet therapy at different hsCRP levels using the High-Risk Patients with Acute Non-disabling Cerebrovascular Events (CHANCE) trial.
Methods
Subjects with both of CYP2C19 major alleles information (*2, *3, and *17) and hsCRP measurements were enrolled from the prespecified subgroup. CYP2C19 LoFA carriers were defined as patients with either*2 or *3 allele. Cox proportional hazards models were used to assess the interaction of CYP2C19 LoFA carrying status with the effects of dual/single antiplatelet therapy at different hsCRP levels. The primary outcome was recurrent stroke within 90 days.
Results
Among 2801 patients, 1646 (58.8%) were LoFA carriers, and 922 (32.9%) had elevated hsCRP. In patients with non-elevated hsCRP, there was a significant interaction effect between CYP2C19 LoFA carrying status and dual/single antiplatelet regimens for prevention of recurrent stroke and combined vascular events (p = 0.048, 0.048, respectively), but, not in patients with elevated hsCRP (p = 0.502, 0.472, respectively). Only among patients with non-elevated hsCRP and non-carrier of CYP2C19 LoFA, dual antiplatelets significantly reduced the risk of recurrent stroke compared with aspirin alone (hazard ratio = 0.44 [0.26–0.74], p = 0.003). No significant differences in bleeding were found.
Conclusions
Non-elevated hsCRP and non-carrier of CYP2C19 LoFA may predict a better response to dual antiplatelet therapy in reducing stroke recurrence and composite vascular events for patients with minor stroke and high-risk TIA.
TRIAL REGISTRATION
: clinicaltrials.gov Identifier: NCT00979589
Are US Asian Indians Dying with Atherosclerosis More Likely to have Concurrent Diabetes Mellitus: Analysis of National Multiple Cause of Mortality Data (2012 - 2019)
Authors: Nair Deepak Rajendran , Chauhan Abhyuday , Vaidya Dhananjay 
Published: August 2022

Abstract
Background:
Asian Indians (AI) are at high risk for both atherosclerotic diseases (ATH) and Type 2 Diabetes Mellitus (DM). We analyze the clustering of these two comorbidities as contributing causes of death in AI versus the rest of the US population (Non-AI).
Methods:
Using Mortality Multiple Cause Files (2012–2019) from the National Center for Health Statistics, we included deaths at age ≥ 45 years among US residents where AI versus Non-AI status could be ascertained (n = 55,461 AI; n = 20,090,038 Non-AI) and identified ATH (ICD10: I20-I25, I63, I70) and DM (ICD10: E10-E14) as contributing causes of death. We calculated the tetrachoric correlation (Rho) between these contributing causes and the difference in the fraction of deaths involving DM in those with versus without ATH.
Results:
Among AI decedents, 29.9% of deaths included ATH as a contributing cause, 16.4% included DM as a contributing cause with 8.3% deaths being included in the overlap (Rho = 0.36, SE = 0.007) whereas, among Non-AI, 22.4% of deaths included ATH as a contributing cause, 10.0% included DM as a contributing cause with 4.1% deaths being included in the overlap (Rho = 0.31, SE = 0.0005). Thus, DM and ATH as co-occurring causes correlated more strongly in AI versus Non-AI (p < 0.001). Further, this difference in clustering of DM with ATH was highest for younger AI women (age < 60 years) compared to comparable Non-AI women.
Conclusions:
The more frequent co-occurrence of DM and ATH as causes of death among AI compared to Non-AI suggest that the increased burden of these diseases among AI during life has vicious synergistic consequences in terms of mortality. Public health strategies targeted to AI should focus on prevention and clinical treatment of both conditions jointly, in all adults, and especially in women < 60 years.
A class of spectral conjugate gradient methods for Riemannian optimization
Authors: Tang Chunming , Tan Wancheng , Xing Shajie , Zheng Haiyan 
Published: August 2022

Abstract
Spectral conjugate gradient (SCG) methods are combinations of spectral gradient method and conjugate gradient (CG) methods, which have been well studied in Euclidean space. In this paper, we aim to extend this class of methods to solve optimization problems on Riemannian manifolds. Firstly, we present a Riemannian version of the spectral parameter, which guarantees that the search direction always satisfies the sufficient descent property without the help of any line search strategy. Secondly, we introduce a generic algorithmic framework for the Riemannian SCG methods, in which the selection of the CG parameter is very flexible. Under the Riemannian Wolfe conditions, the global convergence of the proposed algorithmic framework is established whenever the absolute value of the CG parameter is no more than the Riemannian Fletcher-Reeves CG parameter. Finally, some preliminary numerical results are reported and compared with several classical Riemannian CG methods, which show that our new methods are efficient.MSC Classification: 65K05 , 90C30
Identification of a pathogenic mutation in PCDH19-related female-limited epilepsy
Authors: CHEN Yanzhao , Chen Lipeng , Yao Dong , Liu Zhiping , Zhou Keying , YUE Yongjian 
Published: August 2022

Abstract
Background
Early infantile epilepticencephalopathy-9 (EIEE9) is an X-linked genetic disorder characterized by the onset of seizures during infancy. Mutations in PCDH19 are the main causes of EIEE9. The subject of our study is a child who presented with recurrent epileptic seizures and findings of abnormal synchronous discharges on electroencephalography. Our study aimed to identify causative variants of pathogenic genes and to confirm the diagnosis of epilepsy.
Case presentation
The proband is a girl who had been experiencing recurrent epileptic seizures for more than 2 years. The electroencephalography features strongly supported the diagnosis of epileptic encephalopathy. Whole-exome sequencing (WES) was conducted on the proband and parents to identify potential genetic variants. Candidate pathogenic variants were validated using Sanger sequencing. A pathogenic heterozygous variant was observed in PCDH19 (c.695A > G). Two likely benign variants, c.71C > T in GABRD and c.G1691A in SCN1A were also identified, including a paternally inherited nonsense heterozygous variant.
Conclusions
Based on clinical phenotyping and genetic analyses, the patient was diagnosed with PCDH19-female limited epilepsy. The application of WES to reveal the pathogenic variant was a crucial step in arriving at an accurate diagnosis. Genetic testing improves the diagnoses of PCDH19-related epilepsy manifesting with typical symptoms and provides valuable evidence that may enhance genetic counseling and clinical treatment guidance.
Retirement Savings and Elderly Living Arrangements: Evidence from India
Authors: Sengupta Reshmi , Rooj Debasis 
Published: August 2022

Abstract
This paper examines the role of retirement savings on the living arrangements of persons aged 60 years and above in India. A major challenge to empirically analyze this relationship is the lack of a comprehensive database that captures the financial savings and health indicators of the elderly population in India in the same framework. Therefore, we use two nationally representative data sets and combine them at the district level for our empirical exercise. We exploit the exogenous variation in the exposure to retirement savings across the districts to analyze how retirement savings impact the living arrangements of elderly persons. Our findings indicate that elderly persons in districts with high retirement savings are more likely to live independently. Elderly people from the lower-income strata with retirement savings are more likely to live independently than those from higher-income groups. Our results demonstrate the importance of retirement savings in improving the welfare of the elderly population and the need for further improving the financial penetration among the elderly in India.JEL Classification: G5, G51,I31,J14
How Does Climate Environment Affect Middle-aged and Elderly People’s Health Performances: Evidence from China
Authors: Zeng Yanxi , Zheng Xuyang 
Published: August 2022

Abstract
This research examined the effects of climatic factors on the health performances of middle-aged and elderly people in China, analyzing data from 2011 China Health and Retirement Longitudinal Study (CHARLS) and Integrated Surface Hourly (ISH) dataset with logistic regression models. We find that external climate environment is negatively associated with middle-aged and elderly people’s various health outcomes: the odds of diagnosing some chronic diseases, having pains or reporting a poor health are likely to increase under the increase of daily mean temperature, daily temperature difference, daily mean sea level pressure, and daily maximum sustained wind speed. Also, the health effect differs by gender and age groups. The results of this paper might provide supports to future public health policies from a climate-environmental perspective to prevent older people from suffering from various types of chronic diseases and pains, thereby improving the health quality of older people in China.
Circulating extracellular vesicle-derived lncRNA-GC1 serves as a novel biomarker for predicting and monitoring gastric cancer patient immunotherapeutic outcomes
Authors: Guo Xin , Wei Jiangpeng , Li Xiaohua , Song Qiying , Wu Di , Ru Yi , Xu Shenhui , Chen Lubin , Wang Xinxin , Lv Xiaohui , Wei Bo , Ji Gang 
Published: August 2022

Abstract
Background
Efforts to predict patient outcomes following immune checkpoint inhibitor (ICI) treatment remain limited owing to a lack of any reliable prognostic biomarkers. In prior studies, circulating extracellular vesicle (EV)-derived lncRNA-GC1 was found to offer value as a gastric cancer (GC)-specific biomarker that could be used for the early diagnosis and subsequent monitoring of affected patients. This study was developed with the goal of expanding on these prior results by assessing the utility of EV-derived lncRNA-GC1 as a predictive biomarker associated with the outcomes of GC patients undergoing ICI treatment.
Methods
qPCR was used to measure EV-derived lncRNA-GC1 levels in patient samples, while correlations between the levels of this lncRNA and therapeutic outcomes were analyzed for GC patients undergoing ICI treatment in both a training cohort (n = 84), two separate validation cohorts (n = 124 and n = 131), and one prospective cohort (n = 80). Lastly, the stability of EV-derived lncRNA-GC1 was assessed in a distinct retrospective patient cohort (n = 30).
Results
EV-derived lncRNA-GC1 levels were independent of the PD-L1 expression status or density of CD8+ T cell infiltration observed for GC patients. Baseline EV-derived lncRNA-GC1 levels were able to effectively predict patient immunotherapeutic outcomes and could be used for the dynamic monitoring of GC patients over the course of treatment. Lower EV-derived lncRNA-GC1 levels were associated with microenvironmental characteristics of more robust antitumor immunity including higher levels of activated CD8+ T/NK cells and an increased TH1/TH2 ratio. Such EV-derived lncRNA-GC1 could also be stably detected in clinical samples even after they had undergone repeated freeze/thaw cycles or prolonged incubation at room temperature. These results were also consistent across multiple training and validation cohorts.
Conclusions
Here, EV-derived lncRNA-GC1 was found to reliably predict immunotherapeutic responses in GC patients undergoing ICI-related therapy, suggesting that targeted analyses of this lncRNA may be ideal as a tool to guide patient treatment planning, monitoring, and related decision-making, in addition to offering new insights with the potential to improve GC patient immunotherapy outcomes.