bluuebunny/crossref_metadata_2025_split huggingface dataset:
Purpose in Life, Loneliness and Depression Among Patients with Substance Use Disorders in the Psychiatric Hospitals in Ghana.
Authors: Nkyi Anthony Kwabena , Ninnoni Jerry Paul 
Published: May 2023

Abstract

This study aims to further the understanding of purpose in life, depression and loneliness among substance use disorders (SUD) patients in psychiatric hospitals in Ghana. The study employed a cross-sectional survey design. A total of 625 SUD inpatients were screened. Beck Depression Inventory-II, the revised UCLA Loneliness Scale, and the Purpose in Life Test were utilised to measure depression, loneliness, and purpose in life. Data were analysed using the SPSS version 23 for Windows. Data from 378 participants were collected for this study; after data cleaning, frequency tables (for categorical variables) and descriptive statistics (for continuous variables) were used to summarise the demographics and the three outcome variables, depression, purpose in life, and loneliness. Our findings indicate that overall, participants had low levels of depression, moderately high levels of purpose in life, and moderate levels of loneliness. There was no statistically significant relationship between depression and loneliness (r = 0.030, p = 0.567). There was a statistically significant negative relationship between depression and purpose in life (r = -0.514, p < 0.001). There was a statistically significant positive relationship between purpose in life and loneliness (r = 0.147, p = 0.004). There was no gender difference in depression, purpose in life, and loneliness, among SUDs patients in psychiatric hospitals. It is anticipated that the findings of this study will inform policies and clinical practice regarding service provision for patients with SUDs to improve their quality of life.
Study of some microRNA on chromosome 19 (C19MC) in serum and breast cancer tissue
Authors: Altalebi Saif Adil Ridha , Haghi Mehdi , Feizi Mohammad Ali Hosseinpour 
Published: May 2023

Abstract
Background
Breast cancer (BC) is the most prevalent cancer among females worldwide. Many studies suggest that certain RNAs play a role in carcinogenesis. The primate-specific microRNA gene cluster on chromosome 19 q27.3 region (C19MC) could regulate tumor cell proliferation, migration, and invasion.
Objective
In this study, we compared the expression of miRNAs of the C19MC cluster in breast cancer tumor and non-tumor samples, as well as in the serum of BC-affected and healthy individuals.
Methods
Peripheral blood was collected from 100 people with BC and 100 healthy individuals, and breast cancer samples of tumor and margin tissue were collected. After RNA extraction, cDNA was synthesized using RT-PCR. The expression of C19MC, including miR-515-1, miR-515-2, miR-516-A1, miR-516-A2, miR-516-B1, miR-516-B2, miR-517-A, miR-517-B, miR-517-C, and miR-518-A1, in the control-patient serum and tissue of BC and tumor margin were investigated using real-time PCR. Statistical analyses and ROC curves were generated using GraphPad Prism software (v8.04), and a p-value of 0.05 was considered significant.
Results
Our findings show that high expression of all C19MC miRNAs mentioned, except miR-517-B and miR-517-C, tightly correlates with BC and can be utilized as noticeable non-invasive tumor markers.
Conclusion
Our data support a general effect of C19MC miRNAs on BC detection and highlight the potential role of several C19MC members in this process.
Parametric imaging of P-glycoprotein function at the blood-brain barrier using kE,brain-maps generated from [11C]metoclopramide PET data in rats, nonhuman primates and humans
Authors: BREUIL Louise , ELBIALI Myriam , VODOVAR Dominique , MARIE Solène , AUVITY Sylvain , BAUER Martin , GOUTAL Sébastien , RODRIGO Sebastian , LANGER Oliver , Tournier Nicolas 
Published: May 2023

Abstract
Purpose
PET imaging using [11C]metoclopramide revealed the importance of P-glycoprotein (P-gp, ABCB1) in mediating the brain-to-blood efflux of substrates across the blood-brain barrier (BBB). In this work, the elimination rate constant from the brain (kE,brain), calculated from dynamic PET images without the need for arterial blood sampling, was evaluated as an outcome parameter for the interpretation of [11C]metoclopramide PET data.
Procedures:
k E,brain parameter was obtained by linear regression of log-transformed brain time-activity curves (TACs). kE,brain values (h− 1) obtained under baseline conditions were compared with values obtained after complete P-gp inhibition using tariquidar in rats (n = 4) and baboons (n = 4) or after partial inhibition using cyclosporine A in humans (n = 10). In baboons, the sensitivity of kE,brain to measure complete P-gp inhibition was compared with outcome parameters derived from kinetic modeling using a 1-tissue compartment model (1-TCM). Finally, kE,brain-maps were generated in each species using PMOD software.
Results
The The linear part of the log-transformed brain TACs occurred from 10–30 min after radiotracer injection in rats, from 15–60 min in baboons and from 20–60 min in humans. P-gp inhibition significantly decreased kE,brain values by 39 ± 12% in rats (p < 0.01), by 32 ± 6% in baboons (p < 0.001) and by 37 ± 22% in humans (p < 0.001). In baboons, P-gp inhibition consistently decreased the brain-to-plasma efflux rate constant k2 (36 ± 9%, p < 0.01) leading to an increase in the total brain volume of distribution (VT, 101 ± 12%, p < 0.001). In all studied species, brain kE,brain-maps displayed decreased P-gp-mediated efflux across the BBB.
Conclusions
k E,brain of [11C]metoclopramide provides a simple outcome parameter to describe P-gp function in the living brain when arterial input function data are unavailable, although less sensitive than VT. kE,brain-maps represent easy to compute parametric images reflecting the effect of P-gp on [11C]metoclopramide elimination from the brain.
SRF SUMOylation modulates smooth muscle phenotypic switch and vascular remodeling
Authors: Xu Yue , Zhang Haifeng , Pober Jordan , Min Wang , Zhou Huanjiao 
Published: May 2023

Abstract

Serum response factor (SRF) controls gene transcription in vascular smooth muscle cells (VSMCs) and regulates VSMC phenotypic switch from a contractile to a synthetic state, which plays a key role in the pathogenesis of cardiovascular diseases (CVD). SRF activity is regulated by its associated cofactors. However, it is not known how post-translational SUMOylation regulates the SRF activity in CVD. Here, we show that Senp1 deficiency in VSMCs increased SUMOylated SRF and the SRF-ELK complex, leading to augmented vascular remodeling and neointimal formation in mice. Mechanistically, SENP1 deficiency in VSMCs increased SRF SUMOylation at lysine 143, which reduced its lysosomal localization concomitant with increased nuclear accumulation. SUMOylation of SRF switched its binding with the contractile phenotype-responsive cofactor myocardin to binding with the synthetic phenotype-responsive cofactor phosphorylated ELK1. Both SUMOylated SRF and phosphor-ELK1 were increased in VSMCs from coronary arteries of CVD patients. Importantly, preventing the shift from SRF-myocardin to SRF-ELK complex by AZD6244 inhibited the excessive proliferative, migratory, and synthetic phenotypes, attenuating neointimal formation in Senp1-deficient mice. Therefore, targeting the SRF complex may have a therapeutic potential for the treatment of CVD.
Sox11 Modulates Redox Homeostasis and Chemoresistance via Tcl1a and Prdx2 Upregulation in Aggressive Mcl
Authors: Balsas Patricia , De Bolòs Anna , Sureda-Gómez Marta , Carreras-Caballé Maria , Rodríguez Marta-Leonor , Campo Elias , Amador Virginia 
Published: May 2023

Abstract
Mantle cell lymphoma (MCL) is an incurable B-cell neoplasm characterized by its aggressive behavior, short responses to conventional therapies and SOX11 overexpression. Oxidative stress is known to induce tumorigenesis and tumor progression, whereas high levels of antioxidant genes have been associated with chemoresistance in different cancers. However, the role of oxidative stress in MCL pathogenesis and the involvement of SOX11 regulating redox homeostasis in MCL cells are largely unknown. Here, we observed that aggressive SOX11 + MCL presented higher reactive oxygen species (ROS) levels and increased expression of oxidative stress-related genes compared to SOX11- MCL primary cases. Upregulation of the antioxidant gene PRDX2 and the proto-oncogene TCL1A significantly correlated with SOX11 overexpression and associated with worse patients’ overall survival. SOX11 knockout (SOX11KO) significantly reduced TCL1A. Moreover, SOX11KO and TCL1A knockdown (TCL1AKD) reduced PRDX2 expression in MCL cell lines. SOX11KO, TCL1AKD and PRDX2KD increased ROS levels and tumor cell death upon drug treatment in vitro. Interestingly, TCL1AKD reduced tumor growth in vivo, suggesting its involvement in MCL tumorigenesis. Overall, our results suggest an aberrant redox homeostasis associated with chemoresistance in aggressive MCL through TCL1A and PRDX2 upregulation, highlighting them as promising targets for new therapeutic strategies to overcome chemoresistance in aggressive MCLs.
Estimation of genomic DNA content of some selected cryptic species of underutilized legume Canavalia
Authors: Chauhan Arpit , Tamang Padma , Jena Satya Narayan , Dikshit Nilamani , Mohanty Chandra Sekhar 
Published: May 2023

Abstract
Canavalia spp. is an important underutilized legume crop with many valuable nutritional and medicinal properties. It is a potent crop that can be explored to meet the demand of protein rich food for the ever-increasing population. In the present study the genome size and 2C DNA content of five different Canavalia species were estimated using flow cytometry following the pre-optimized protocol. With reference to the two internal standards, Glycine max Merr. ‘Polanka ’and Solanum lycopersicum L. ‘Stupicke polni rane’ the 2C genomic DNA content of five Canavalia species was estimated range from 1399 to 1487 Mb and 1379 to 1477 Mb. Less variation was observed in genomic content of five species of Canavalia. These findings will be crucial to unravel the genomic architecture, which will not only provide valuable information at the structural level but will also facilitate genetic improvement of these lines for further use in future.
Maternal Healthcare Use by Women with Disabilities in Rajasthan, India: A Secondary Analysis of the Annual Health Survey
Authors: Casebolt Tara , Singh Kavita , Speizer Ilene S. , Halpern Carolyn T 
Published: May 2023

Abstract

Background
Women with disabilities face a number of barriers when accessing reproductive health services, including maternal healthcare. These include physical inaccessibility, costs, transportation, negative attitudes from family and healthcare providers, and a societal belief people with disabilities shouldn’t be parents. While qualitative studies have uncovered these barriers, there is limited quantitative research to determine their impact on use of maternal health services. This study aims to analyze associations between disability and maternal healthcare use among married women in Rajasthan.
Methods
This study is a secondary analysis of the Indian Annual Heath Survey first wave data from 2011. The sample includes 141,983 women aged 15–49 who had given birth between 2007 and 2009. Logistic regression was used to assess the association between disability and use of antenatal, delivery, and postnatal care. Stratified models were created to analyze difference based on birth order of the pregnancy and whether the woman’s place of residence is rural or urban.
Results
The prevalence of disability was 1.23%. Attending at least three antenatal care visits was reported by 50.66% of the sample, skilled delivery use by 83.81%, and receiving postnatal care within 48 hours of birth by 76.02%. In the regression model, women with disabilities were less likely to report attending the minimum antenatal care visits (OR = 0.84; CI: 0.76, 0.92). No association was found between disability and skilled delivery or postnatal care. Once the sample was stratified by birth order, women with disabilities reporting their first birth were more likely to report receiving postnatal care than women without disabilities (OR = 1.47; CI: 1.13, 1.91).
Conclusion
Additional research is needed to determine use of maternal healthcare among women with disabilities in India. Maternal services need to be assessed to determine their accessibility, especially regarding recent laws requiring accessibility.
Baseline SCAT5 performance in Spanish rugby players of different levels
Authors: Solis-Mencia Cristian , Ramos-Álvarez Juan J. , Maté-Muñoz José L. , Montoya-Miñano Juan J. , Martín Laura , García-Horcajo Pablo , Requeno-Conde Carlota , Iglesias Elena Oliva , Sousa Luis de Sousa-de , García-Fernández Pablo 
Published: May 2023

Abstract

Background Concussion is frequent in contact sports, with rugby being one of the sports with the highest rates of concussion. The aim of this study was to evaluate the baseline Sport Concussion Assessment Tool-5 (SCAT5) values in community Hispanic rugby players of both sexes. Methods The SCAT5 was administered as part of the pre-season medical testing to 219 Hispanic rugby players (female = 81; male = 138). Results Most of the community Spanish rugby players presented some symptom in the SCAT5 (male = 75.4%; female = 91.4%). The number and severity of the symptoms reported by the male players were lower than those reported by the female players (p = 0.001). The time to complete the tandem gait test and balance showed differences between sexes (p < 0.001). Conclusions The baseline SCAT5 values of community Spanish rugby players are different from the baseline SCAT5 values of professional players, which leads to the recommendation of conducting the SCAT5 in all players before the beginning of the season. If the baseline evaluation of the players cannot be performed, it is adequate to use reference values of the population with the most similar characteristics.
Sexual and Reproductive Health Service Utilization and Associated Factors among Adolescent and Youth in Dire Dawa City, Eastern Ethiopia
Authors: Abera Legesse , Guta Alemu , Fentie Dilnessa 
Published: May 2023

Abstract
Background
adolescents and youth characterized by significant physiological, psychological, and social changes; these were put them at high risk for several sexual and reproductive health problems. Insufficient studies have addressed the burden and risk factors of young people’s sexual and reproductive health services utilization in Ethiopia.
Objective
This study aimed to investigate the adolescents and youth sexual and reproductive health service utilization and associated factors in Dire Dawa City Administration, Eastern Ethiopia.
Methods
For the quantitative data, community-based cross-sectional study was carried out using multistage sampling technique. Data was collected using pretested interview-administered questionnaires and analyzed using SPSS version 24.0. Binary and multiple logistic regression analysis were done to determine the association between the dependent and independent variables. For the qualitative data, phenomenological study was conducted and thematic analysis was employed.
Results
This study revealed that the overall sexual and reproductive health service utilization was found to be 39.5%. Youths’ preference regarding the services majority preferred special service hours designated for adolescents (55.6%), (46.9) preferred a discounted price (43.2%) preferred free service, (37% %) preferred young health providers of the same sex. Having discussion on sexual and reproductive health issues with family, living with partner/friend, convenient service hour, short distance from health facility, having sexual activity within the last 12 months were among the factors associated with sexual and reproductive health services utilization.
Conclusion and recommendation:
This study revealed that the overall sexual and reproductive health service utilization was found to be low. Considering the physical and psychological changes of adolescents’ the discussion on sexual and reproductive health matters is highly important and expected from every family.
Diurnal variation of rain drop size distribution over the Western Ghats in India
Authors: Kumar Amit , Srivas A. K. , Chakravarty K. , Srivas Manoj K. 
Published: May 2023

Abstract
Joss-Waldvogel Disdrometer (JWD) measurements at the High-Altitude Cloud Physics Laboratory (HACPL: 17.56°N, 73.4°E, above 1373 m MSL), Mahabaleshwar were investigated for determining the diurnality of the drop size distribution (DSD) associated with the precipitation characteristics over the Western Ghats. Here, we examined the JWD data from 2015 to 2019 collected during the Indian Summer Monsoon (ISM) season. The number concentration of rain droplets of various diameters is considerably varying with the rain rate (R) and type of precipitating cloud. With increasing the value of R, rain droplets having larger diameter concentration significantly increase, and distribution tail moves to the biggest droplets. The average of reflectivity (Z), R, liquid water content (LWC), mass-weighted mean diameter (Dm), and normalized intercept parameter (log10Nw) have higher values from the heavy rainfall (Rhigh ≥10 mm/hr) in comparison to the low rainfall (Rlow < 10 mm/hr) for seasonal rainfall. The gamma distribution of DSD shows significant difference during the low and heavy precipitation on different time period (e.g. 00-06, 06-12, 12-18, 18-24 LST). The number of rain events contributing to the total accumulated rain varies with time. The maximum number of rain events occurred during 12-18 LST, with 23.6 % rain events of low rainfall and 4.9% of heavy rainfall. The bimodality is observed in the diurnal variation of Dm, R, and Z, with the largest peak recorded in the late afternoon (13-16 LST) and the second crest in the early morning hours (05 LST). At the same time, the log10Nw value drops down, indicating the lowest concentration of rain droplets. Several factors, like the land-sea breeze, complex mountainous terrain, and amount of surface reaching solar radiation may control the formation of precipitating clouds at the microphysical scale on the windward side of the Western Ghats, and may also responsible for the observed diurnality in DSD.
Spectral theorems for Wigner transform associated with the Jacobi-Dunkl localization operators
Authors: Chana Ahmed , Akhlidj Abdellatif 
Published: May 2023

Abstract
The main purpose of this paper is to define the Wigner transform associated with the Jacobi-Dunkl operator and to give some results related to this transform as inversion formula, next motivated by Wong’s point of view we define a class of pseudo-differential operator Lu,v(σ) called localization operator wich depend on a symbol σ and two functions u and v, we give a criteria in terms of the symbol σ for its boundedness and compactness,we also show that these operators belongs to the Schatten-Von Neumann class Sp for all p ∈ [1; +∞] and we give a trace formula.
MSC2020-Mathematics Subject Classification: 42B10, 47G30, 47B10.
Machine Learning Strategies for Malaria Risk Prediction based on Text-based Clinical Information
Authors: SAHU PRABHAT , Priyadarshini Pragati , Tripathy Smaranika , Das Yasaswi , Pradhan Suvendu 
Published: May 2023

Abstract
Transmitted through mosquito bites, malaria is a disease that poses a serious threat to life and is caused by parasites. Its impact on the health of infants, children, and pregnant women globally is substantial, often leading to child malnutrition and contributing to a rise in infant mortality rates. According to the 2020 World malaria report published by WHO, there was significant increase in 14 million more cases and 69000 more deaths as compared to 2019. The emergence of insecticide and drug resistance in mosquitoes has led to setbacks in malaria control effects. Hence, early diagnosis and timely treatment are essential for effective management and control of the disease. However, traditional diagnostic methods are time-consuming, costly, and require trained personnel. Machine learning techniques can help to overcome these challenges by predicting and classifying malaria risk using clinical information. In this research paper, we propose a malaria risk prediction model using machine learning techniques based on clinical information. Our study utilizes a data set of patient records from a malaria endemic area, including demographic information, clinical symptoms, laboratory test results, and treatment history. We used machine learning classification models like logistic regression, decision tree classifiers, gaussianNB, random forests, and extratree classifiers, to build and evaluate prediction models. We used feature selection approaches to determine the most useful characteristics for malaria risk prediction. The proposed machine learning-based approach has several potential applications in clinical practice. For example, the approach can be used to identify high-risk individuals and allocate resources for early detection and treatment. The approach can also support public health officials in developing targeted intervention strategies to reduce malaria transmission. In conclusion, this study demonstrates the effectiveness of machine learning techniques in malaria risk prediction using clinical information. The proposed approach can potentially improve early detection and treatment of malaria, ultimately reducing the burden of the disease.
Treatment Efficacy and Safety of Intravitreal Aflibercept in Early Neovascular Glaucoma
Authors: Chen Lili , Zheng Bo , Sang Kexin , Zhang Ting , Wu Huiqin 
Published: May 2023

Abstract
Background
This study aimed to assess the treatment efficacy and safety of intravitreal aflibercept (IVA) in stage I and II neovascular glaucoma (NVG).
Methods
In this retrospective study, the clinical data of 57 patients (57 eyes) with stage I and II NVG secondary to PDR treated in our hospital from March 2018 to March 2021 were assessed. The treatment group was administered IVA with PRP, while control patients received PRP only. With a follow-up of 2 years, the BCVA, IOP, neovascularization and disease progression were analyzed.
Results
The BCVA and IOP were ameliorated in the treatment group compared with the control group during the 2-year follow-up period (P < 0.05). After the 2-year follow-up, the BCVA and IOP were better than pre-treatment level in the treatment group, while they were seriously in control group, but they all have no significant differences compared with pre-treatment levels (P > 0.05). The final effective rates of IOP control were 53.33% and 40.74% in the treatment and control groups (X = 0.904, P = 0.342); after the 2-year follow-up, 60% of the iris and angle neovascularization in the treatment group regressed, and 29.63% in the control group regressed (X = 4.053, P = 0.044).
Conclusions
IVA is safe and effective for the treatment of stage I and II NVG, effectively inhibiting the activity of iris neovascularization, delaying disease progression and preserving vision.