bluuebunny/crossref_metadata_2025_split huggingface dataset:
In vitro antiviral activity of currently available drugs against primary HIV isolates with high growth capability
Authors: H Alfredo Jr. A. , Kanai Kyosuke , Tsuneki-Tokunaga Akeno , Komatsu Mizuki , Telan Elizabeth O. , Kageyama Seiji 
Published: August 2022

Abstract
Background
It has been considered that virologic failure can occur with drug-resistance mutations in the HIV genome. In the present study, we assessed the influence of growth capability of HIV strains to drug response resulting in virologic failure. Phytohemagglutinin-activated peripheral blood mononuclear cells (1.5×106 cells) were infected with HIV strains (106 copies/mL) in vitro. The culture was carried out in different concentrations (0.001 to 20 µM) of twelve commercially available antiretroviral synthetic compounds (five nucleoside/nucleotide reverse transcriptase inhibitors, one non-nucleoside reverse transcriptase inhibitor, four integrase inhibitors, and two protease inhibitors), and HIV production was assessed using HIV-RNA copies in culture. The 90% inhibitory concentration (IC90) was used as an indicator of antiviral activity.
Result
Tenofovir (TFV) showed an IC90 of 2.05 ± 0.71 µM above the maximum concentration that a drug achieves (Cmax) after dosing of Tenofovir disoproxil fumarate (prodrug of TFV) against a strain with high growth capability without any drug resistance-related mutations. Lamivudine, emtricitabine, and efavirenz had IC90 values close to the Cmin-Cmax range against the strain. Atazanavir, tenofovir alafenamide, zidovudine, and dolutegravir had the lowest IC90 values of 0.03, 0.40, 0.50 and 0.50 nM, respectively, against the strain.
Conclusion
These results suggest that high growth capability of the strains influences virologic failure.
Classification and Feature Prediction of Star, Galaxies, Quasars, and Galaxy Morphologies Using Machine Learning
Authors: S Mahalakshmi G , B Swadesh , RRV Aswin , S Sendhilkumar , A Swaminathan , S Surendran 
Published: August 2022

Abstract
At the age of ever replenishing data with constant inflow, it is very tedious to classify astronomical objects manually which was the conventional way for a long time. The universe is full of stars clustered together to form galaxies. The study and analysis of these galaxies provides us with a vast understanding of our own galaxy. A deep convolutional neural network architecture for galaxy morphology classification and feature prediction is proposed. The galaxy can be divided into ten morphological classes based on its characteristics. The proposed architecture consists of two models: one for class prediction and the other for galaxy features prediction. This paper attempts to classify astronomical objects into Galaxies, Stars and Quasars using data from SDSS, LAMOST Surveys in addition to spectroscopic data analysis. Baseline approaches are compared for the classification task and improved optimised classification is further explored.
Modest effect of neurofeedback-assisted meditation using wearable device on stress reduction: A randomized, double-blind and controlled Study
Authors: Lee Eunyoung , Hong Jung Kyung , Choi Hayon , Yoon In-Young 
Published: August 2022

Abstract
A 2-week, randomized, double blind, and controlled study was designed to evaluate the therapeutic effectiveness and safety of a neurofeedback wearable device for stress reduction. Participants were healthy adults with psychological stress and subclinical symptoms of depression or anxiety. Subjects practiced either neurofeedback-assisted meditation (n = 20) or neurofeedback non-assisted meditation (n = 18) for 12 minutes twice a day for a total of two weeks. Outcome variables were questionnaires of stress, mood, and sleep, quantitative electroencephalogram (qEEG), and blood tests. Regarding the Perceived Stress Scale, the experimental group had a significantly decreased score compared to the control group (6.45 ± 0.95 vs. 3.00 ± 5.54, p = 0.037). State anxiety tended to have a greater effect in the experimental group than in the control group (p = 0.078). Depressive mood and sleep were also improved in each group, showing no difference between the two groups. There were no significant differences in stress-related physiological parameters such as stress hormone or qEEG between the two groups. In the satisfaction evaluation of device use measured at final visits, subjective device satisfaction was significantly higher in the experimental group than in the control group (p = 0.008). Thus, neurofeedback-assisted meditation using a wearable device can help improve subjective stress reduction compared to non-assisted meditation. These results support neurofeedback as an effective adjunct to meditation to relieve stress.
Assessment of Groundwater Potential Zone mapping approach for semi-arid environments using GIS-based Analytical Hierarchy Process (AHP) and Multiple Influence Factors (MIF) and multi-criteria decision analysis (MCDA) techniques in Buchakewadi Watershed, Maharashtra, India
Authors: Shinde S. P. , Barai V. N. , Gavit B. K. , Kadam S. A. , Atre A. A. , Bansod R. D. 
Published: August 2022

Abstract
Groundwater is an essential factor in the aquifer recharging and management for the drinking, irrigation, and economy. Currently unpredictable rainfall due to climate change and pollution on the earth's surface, these problems directly affect the demand for groundwater in the more affected area of the globe. In this study, we have selected two methods such as Analytical Hierarchy Process (AHP) and Multiple Influence Factors (MIF), which would be applied for the groundwater potential zone maps. We have been prepared the nine thematic layers such as LULC, geomorphology, soil, drainage density, slope, lineament density, elevation, groundwater level, and geology maps using remote sensing and GIS techniques. These layers are integrated in the Arc GIS software with the help of AHP and MIF methods. We were identified into four classes, i.e., Poor, Moderate, Good, and Very Good based on AHP and MF methods. The groundwater potentials zones area is 241.50 (ha.). Poor, 285.64 (ha.) moderate, 408.31 (ha.) good, and 92.75 (ha.) very good using AHP method. However, the other groundwater potential zones area is shown as 351.29 (ha.) poor, 511.18 (ha.), moderate, 123.95 (ha.) good, and 41.78 (ha.) very good using MIF method. Both the groundwater potential zone maps have been validated with the water yield data using Arc GIS software 10.8. The ROC and AUC models' results are found to be 0.80 (good) and 0.93 (excellent) using MIF and AHP methods, respectively. The main purpose of this study is to identify the best method for demarcated the groundwater potential zone map, which method is better for preparation of watershed planning, and groundwater development policy, specific in basaltic rock and drought condition. The present study's framework 84work and results will be valuable to improving the efficiency of irrigation, conservation of rain water and maintain the ecosystem in India.
Artificial Molecular Network (AMoNet): graph learning for cancer survival prediction from targeted sequencing
Authors: Verlingue Loic , Massard Christophe , Calzone Laurence , Barillot Emmanuel 
Published: August 2022

Abstract
AMoNet (Artificial Molecular Networks) is a tool that aims to predict cancer patients’ survival when only targeted gene sequencing data are available. Outcome predictions from sparse data can benefit from new methods including deep learning. Our approach optimizes large recurrent directed molecular networks built from prior knowledge supported by speed-up computations and interpretations. Predictions suggested by the model simulations are available in a user-friendly interface.
The Recovery of Outpatient With Schizophrenia-in-remission in State Hospital, Ring Road Ibadan: a Social Support Examination
Authors: OMOKHABI Udukhomose Suleiman , ABIONA I. A. 
Published: August 2022

Abstract
Schizophrenia is a chronic disorder that influences social functions and social relationship of the schizophrenia patients. Schizophrenic patients frequently complain of diminished social support which is a critical factor in the diagnosis of schizophrenia. Several studies have looked at the impact of social support on mental health. This study investigated the influence of social support on the recovery of outpatients with schizophrenia in remission. (OwSiR). The State Hospital, Ring Road, Ibadan that is noted to have largest mental health facility in Ibadan was purposively selected, while 261 OwSiR who met the DSM-IV criteria using the Kish sampling formular were purposively selected. The instruments used were Social Support; Instrumental (α=0.77), Emotional (α=0.89), Information (α=0.75) and Mental Health Recovery Scale (α=0.81). Quantitative data were subjected to descriptive statistics, Pearson’s product moment correlation and Multiple regression at 0.05 level of significance. Respondents in the age group 20-24 years reported higher social support scores compared to those in the age group 45-49 years (p=0.045) and 50 years plus (p=0.007). The mean social support score of married respondents (159.44±20.09) was higher when compared to unmarried respondents (126±20.52) (t= -2.99, p=0.002). Mean social support across levels of educational qualification (F=3.63, p=0.014), revealed that respondents with secondary school qualifications have higher social support compared to those with tertiary education (p=0.01). Mean social support score across levels of living arrangement (F=3.50, p=0.032). Multiple comparison revealed that the difference exists between living with family members (p=0.038) and living with adult children. Also, social support was higher among respondents living with their spouse compared to living with an adult children (p=0.039). Instrumental support (r=0.63), emotional support (r=0.52) and informational support (r=0.55), had significant correlations with recovery of OwSiRs. Instrumental (β=0.16) and emotional support (β=0.11) had relative contribution to the recovery of OwSiRs, but information support did not. Male OwSiRs perceived that they had access to more social support than the females, while both male and female along with family caregivers agreed that informational support provision was low. The high cost and negative effects of the available drugs as well as social stigmatisation were the major challenges facing the recovery of OwSiRs.Instrumental and emotional support influenced the recovery of outpatients with schizophrenia-in-remission in State Hospital, Ring Road, Ibadan. These factors should be considered by mental health practitioners for improved recovery of outpatients with schizophrenia-in-remission in Ibadan.
Air Quality Estimation and Fatal Effect on Human Health –A Geoinformatics-Based Research on Million-Plus Cities around 500km Radius of Delhi, India
Authors: Pakrasi Debanjan , Nagalakshmi R. , Chowdhury Subhankar , Ghosh Sumit 
Published: August 2022

Abstract
Whilst the world is growing with various technological advancements and the latest innovations are making human life manageable, we have started negotiating to maintain the quality of the substance which keeps us alive - AIR. Where more than millions of people living in cities are affected by health issues, air pollution is coming up as one of the primary reasons for its deterioration. Million-plus cities are affected the worst in India. These cities need regular monitoring and management of air pollutants in and around the city and it is possible using GIS in wide spatial coverage. This paper will discuss the air quality of million-plus cities within the 500 km buffer from the Delhi-NCR region. A total of 14 major cities falls within this 500km buffer region. This study took the consideration of air quality data for the last 12 years starting from the year 2011 to the year 2022 and discussed the level of variation for NO2, SO2, and PM10. Data is collected from the CPCB website, several online sources, and state PCB websites for particular cities. During this research, it has been found that levels of NO2 and SO2 are satisfactory. However, the levels of PM10 are continuously rising every year, thereby failing to maintain the annual average standard (140 µg/m3). A discussion on adverse human health effect and future trends of air pollution is also presented in addition to the yearly application of IDW interpolation techniques for spatial analysis on the dataset.
Dendritic-cell subset devotes to the chaos of programmed cell-death patterns from systemic lupus erythematosus to lupus nephritis
Authors: Xu Ruoyao , Zhang Ying , Cao Qingtai , Liao Shen , Tang Youzhou , Zhuang Quan 
Published: August 2022

Abstract
Abnormal programmed cell death of immune cells relates to autoimmune diseases, but the programmed cell death pattern conditions in systemic lupus erythematosus (SLE), especially lupus nephritis (LN), remain unclear. We analyzed bulk RNA-sequencing database and single-cell RNA sequencing (scRNA-seq) profile from SLE peripheral blood mononuclear cells (PBMCs). Besides, we ran renal tissue scRNA-seq from LN patients and normal controls collected in our hospital. There was an imbalance among three cell-death patterns both in SLE and LN: pro-inflammatory patterns pyroptosis and necroptosis were activated, but anti-inflammatory pattern apoptosis was inhibited. Additionally, we found that the cell-death pattern imbalance could be largely attributed to dendritic cell (DC) subsets, among which CLEC9A + cDC1 is a key subgroup devoting to it. This DC subgroup in LN renal tissue has peripheral circulatory origin. Additionally, we sorted out STING to be the upstream factor regulating three cell-death patterns in SLE. Therefore, we provided a novel insight for the role of DC subset in the cell-death patterns imbalance in the pathogenesis of SLE and LN.
“Boot Sign” of Anterior Femoral Condylar Resectional Shape during Total Knee Arthroplasty is more frequent in Asian Patients
Authors: Kim Seong Hwan , Park Yong-Beom , Baek Suk Ho , Lee Jeuk , Lee Han-Jun 
Published: August 2022

Abstract
Purpose
There is lack of intraoperative consensus on the distal femur anterior resected surface shape that allows reliable rotational alignment assessment during total knee arthroplasty (TKA). We aimed to evaluate the ratio and prevalence of anterior femoral resection surface intraoperatively.
Materials and Methods
The study included 234 osteoarthritis patients with varus knees and not valgus knees or deformities. The anteroposterior (AP) lengths after distal femoral resection were measured as the femoral lateral AP (FLAP) and femoral medial AP (FMAP) lengths. Based on the medial (MD) and lateral condyle (LD) vertical distance ratios of the femur anterior resected surface, the groups were classified into “boot sign”, “grand-piano”, and “butterfly sign” groups. Linear regression analyses were used to find the associated factors to the anterior femoral resection surface shape.
Results
Mean intraoperative femoral rotation and distal femoral cutting angles were 4.9° ± 1.2 and valgus 5.0° ± 0.7, respectively. Mean FLAP was 52.9 ± 4.2 mm. Mean MD/LD (0.61 ± 0.13) was lower than that of typical “grand-piano sign”. The morphological shape incidence of ‘boot sign’ was 62.4%. The MD/LD-associated factors were FLAP, intraoperative femoral rotation and distal femoral cutting angles. (R2 = 0.268)
Conclusion
The femur anterior resection surface shape in TKA was found in the “boot sign” rather than the “grand-piano sign” in Korean ethnics owing to an asymmetric morphology of femoral condyles. Ethnic differences, including distal femoral morphology, should be considered for assessment of the femoral rotation angle using the femur anterior resection surface shape.
General practitioners’ knowledge, attitudes, beliefs and practices surrounding the prescription of e-cigarettes for smoking cessation: a mixed-methods systematic review.
Authors: Selamoglu Melis , Erbas Bircan , Kasiviswanathan Karthika , Barton Chris 
Published: August 2022

Abstract
Background: General practitioners (GPs) play an important role in providing patients who smoke with health information, support and treatment to encourage them to quit smoking. Despite conflicting evidence on the effectiveness of e-cigarettes as a smoking cessation aid, there is growing interest in the role e-cigarettes might play as an alternative to smoking tobacco. This systematic review aims to synthesise evidence from qualitative, quantitative and mixed-methods studies of the knowledge, attitudes, beliefs and practice norms of GPs with respect to the use of e-cigarettes in smoking cessation. Methods: This study adhered to the PRISMA guidelines. Studies from MEDLINE, CINAHL, SCOPUS, PsycINFO, EMBASE and grey literature were searched. Two independent reviewers screened abstracts and full-text articles to identify studies that met the inclusion criteria. A data extraction form was used to extract relevant data from included papers and were quality appraised using the MMAT checklist. A PRISMA flow diagram was used to record the flow of papers and reasons for exclusion. Studies were included if they collected quantitative, qualitative or mixed methods data to determine knowledge, attitudes, social norms or perceived behavioural control of GPs for use of e-cigarettes as smoking cessation aids.Results: A total of 4056 abstracts were screened and 25 articles were included. Our findings showed that GPs had mixed views on recommending e-cigarettes as a smoking cessation aid. Some GPs were optimistic and had recommended e-cigarettes to their patients. Others were reluctant and disagreed that e-cigarettes are an effective method to quit smoking. Most GPs lacked knowledge and confidence in having discussions with patients around e-cigarette safety and efficacy as smoking cessation alternatives.Conclusion: This systematic review shows there are mixed views on e-cigarettes as smoking cessation aids. Clear guidance on the role of e-cigarettes is needed to inform and upskill GPs about e-cigarettes for smoking cessation. PROSPERO registration: CRD42021227612
Effect of influenza vaccination on mortality and hospitalization in heart failure patients in a non-seasonal influenza transmission country
Authors: Maneesopit Chatpetch , Phrommintikul Arintaya , Bruminhent Jackrapong , Thakkinstian Ammarin , Yingchoncharoen Teerapat 
Published: August 2022

Abstract
Background: The association of influenza vaccination and heart failure (HF) hospitalization and mortality in Thai HF patients is unknown.Objective: To investigate associations between influenza vaccination and all-cause mortality or HF hospitalization in HF patients.Methods: We retrospectively reviewed medical records from two large tertiary care centers in Thailand (Ramathibodi hospital and Maharaj Nakorn Chiang Mai hospital) with newly diagnosed heart failure between 2013-2020 in an outpatient clinic. We examined the relationship between influenza vaccination and outcomes using a propensity-adjusted model.Results: Of 588 patients, 181 (31%) received influenza vaccination. During a mean follow-up of 57 months, influenza vaccination was associated with a 56% reduction in the risk of HF hospitalization or death (HF hospitalization or all-cause death: HR 0.44; 95% CI 0.31-0.63; p<0.001) in unadjusted analysis. After propensity score adjustment, influenza vaccination though was not associated with reduced risk of all-cause death but associated with reduced risk of HF hospitalization (HR 0.39; 95%CI 0.26-0.58; p<0.001).Conclusions: In patients with HF, influenza vaccination was associated with a reduced risk of HF hospitalization but not all-cause mortality.
Novel inflammation-based prognostic index for predicting survival outcomes in patients with gastric cancer
Authors: Hirahara Noriyuki , Matsubara Takeshi , Kaji Shunsuke , Hayashi Hikota , Sasaki Yohei , Kawakami Koki , Hyakudomi Ryoji , Yamamoto Tetsu , Tanaka Wataru , Tajima Yoshitsugu 
Published: August 2022

Abstract
Background We focused on the lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) and devised an inflammation-based prognostic index (IBPI) as a prognostic marker of cancer-specific survival (CSS).MethodsWe reviewed the clinicopathological data of 480 patients with gastric cancer undergoing curative laparoscopic gastrectomy between January 2009 and December 2019. This study examined the significance of LMR, NLR, PLR, and IBPI as cancer-specific prognostic markers.ResultsIn univariate analysis, tumor diameter, histological differentiation, pathological tumor-node-metastasis (pTNM) stage, LMR, NLR, PLR, C-reactive protein (CRP) level, carcinoembryonic antigen (CEA), and postoperative chemotherapy were significantly associated with CSS. In multivariate analysis, pTNM stage and CEA were the independent risk factors for CSS, although LMR, NLR, and PLR were not the independent risk factors for CSS. The IBPI formula was constructed using hazard ratios for three inflammation-based biomarkers with worse prognosis identified in the univariate analysis: LMR < 4.315, NLR ≥ 2.344, and PLR ≥ 212.01, which were each pointed as 1, with all remaining values pointed at 0. IBPI was calculated as follows: IBPI = 2.9 × LMR + 2.8 × NLR + 2.8 × PLR. The optimal cutoff value of IBPII was 2.9. On multivariate analysis, pTNM stage, CEA, and IBPI were independent prognostic factors for CSS. In the Kaplan–Meier survival analysis, CSS in the high IBPI group was significantly worse than that in the low IBPI group.ConclusionIBPI was devised as a novel predictive index for prognosis, and its usefulness was clarified.
A small cysteine-rich protein identified from the Proteome of clubroot pathogen, Plasmodiophora brassicae, induces cell death in nonhost plants and host plants
Authors: Jiang Xuefei , Su Ying , Wang Maolin 
Published: August 2022

Abstract
Plasmodiophora brassicae is a devastating intracellular pathogen that causes clubroot disease in Brassicaceae plants, which also secrete various effector proteins promoting pathogen colonization and reprogramming host developmental processes. During screening for candidate effector proteins from the Proteome of P. brassicae, we identified a small secreted protein, PbEL04, which can trigger cell death associated with H2O2 accumulation and electrolyte leakage in the nonhost plant Nicotiana benthamiana. This ability to induce cell death was further validated using the recombinant protein produced by Escherichia coli. Moreover, PbEL04-triggered cell death did not require a signal peptide. Structural analysis showed that PbEL04 is a cysteine-rich protein consisting of four tandem EGF-like domains, few of which were homologous to other pathogens. In host plants, PbEL04 could induce cell death in Arabidopsis thaliana protoplasts, and was highly expressed in the process of gall formation. Furthermore, the severity of clubroot disease was greatly reduced in the transgenic lines of PBRA_004448 compared with wild-type Arabidopsis Col-0 after being infected by P. brassicae. Taken together, our study identifies a new secretory protein involved in plant immune response in nonhost and host plants.