bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unmet Need for Family Planning Among Married Women in Sub-Sahara Africa: A Meta-Analysis of DHS Data (1995 – 2020)
Authors: Phiri Million , Odimegwu Clifford , Kalinda Chester 
Published: January 2022

Abstract
Background: Closing the gap of unmet needs for family planning (FP) in sub-Saharan Africa remains critical in improving maternal and child health outcomes. Determining the prevalence of unmet needs for family planning among married women in the reproductive age is vital for designing effective sexual reproductive health interventions and programmes. Here, we use nationally representative data drawn from sub-Saharan countries to estimate and examine heterogeneity of unmet needs for family planning among currently married women of reproductive age. Methods: This study used secondary data from Demographic and Health Surveys (DHS) conducted between January 1, 1995 to December 31, 2020 from 37 countries in sub-Saharan African. An Inverse Heterogeneity model (IVhet) in MetaXL application was used to estimate country and sub-regional level pooled estimates and confidence intervals of unmet needs for FP in SSA. Results:The overall prevalence of unmet need for family planning among married women of reproductive age in the sub-region for the period under study was22.9% (95% CI: 20.9–25.0). The prevalence varied across countries from 10% (95% CI: 10–11%) in Zimbabwe to 38% (95% CI: 35–40) and 38 (95% CI: 37–39) (I2 = 99.8% and p-value <0.0001) in Sao Tome and Principe and Angola, respectively. Unmet needs due to limiting ranged from 6%; (95% CI: 3–9) in Central Africa to 9%; (95% CI: 8–11) in East Africa. On the other hand, the prevalence of unmet needs due to spacing was highest in Central Africa (Prev: 18; 95% CI: 16–21) and lowest in Southern Africa (Prev: 12%; 95% CI: 8–16). Our study indicates that there was no publication bias because the Luis Furuya-Kanamori index (0.79) was within the symmetry range of -1 and +1. Conclusion: The prevalence of unmet need for FP remains high in sub-Saharan Africa suggesting the need for health policymakers to consider re-evaluating the current SRH policies and programmes with the view of redesigning the present successful strategies to address the problem.
Glycemic Control Using Mobile-based Intervention in Patients with Diabetes Undergoing Coronary Artery Bypass – Study Protocol for A Randomized Controlled Trial
Authors: Song Yangwu , Nan Yifeng , Feng Wei 
Published: January 2022

Abstract
Background
Applying technology through the use of the Internet and mobile phones can help provide education and trained peer support for patients with diabetes after coronary artery bypass (CABG). We are conducting randomized controlled trial to evaluate the efficacy and feasibility of mobile-based coaching intervention in improving risk-factor control and secondary prevention in patients with diabetes after CABG.
Methods
The Glycemic control Using miniprogram-based Intervention in patients with Diabetes undergoing coronary artery bypass to promote self-management (GUIDE ME) Study is a multi-center, randomized controlled trial of mobile intervention versus standard treatment with 6 months follow-up conducted in 2 hospitals in China. The interventions are education and reminder system based on Wechat mini-program. Participants in the intervention groups receive 180 videos (including lines) about secondary prevention education for 6 months as well as the standard treatment. Behavioural change techniques, such as prompting barrier identification, motivational skills, goal setting are employed. A total sample size of 820 patients would be adequate for the GUIDE ME study. The primary outcome is the change of glycemic haemoglobin (HbA1c) at 6 months. Secondary outcomes include a change in the proportions of patients achieving HbA1c, fasting blood glucose, systolic blood pressure, low-density lipoprotein cholesterol (LDL-C) and medication adherence.
Discussion
This trial is the first to investigate the efficacy of mobile phone Wechat-based video coaching and medication reminder mini-program system to improve self-management in patients with diabetes and coronary heart disease (CHD) after CABG and have the potential to be applied in resource-limited setting across diverse populations. If successful, such mobile intervention could be used and scaled up to improve care for this high-risk group of patients.
Trial registration:
ClinicalTrials, NCT 04192409. Registered December 10, 2019. https://clinicaltrials.gov/ct2/show/study/NCT04192409?cond=NCT+04192409&draw=2&rank=1
Wastewater surveillance of SARS-CoV-2 in Austria: development, implementation, and operation of the Tyrolean wastewater monitoring program
Authors: Daleiden Beatrice , Niederstätter Harald , Steinlechner Martin , Wildt Stefan , Kaiser Manfred , Lass-Flörl Cornelia , Posch Wilfried , Fuchs Stefan , Pfeifer Bernhard , Huber Andreas , Oberacher Herbert 
Published: January 2022

Abstract
Wastewater-based epidemiology (WBE) is an effective approach for tracking information on spatial distribution and temporal trends of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the community level. Herein, the development, implementation, and operation of the wastewater monitoring program serving Tyrol – a federal province of Austria – are described. The development of this program was initiated by Tyrolean health authorities at the end of the first phase of the Coronavirus disease 2019 (COVID-19) pandemic (May 2020). In close co-operation with the water sector and academic institutions, efficient and effective workflows and processes for wastewater surveillance were established. The monitoring program went into operation in November 2020. By the end of July 2021, a total of 5,270 wastewater influent samples collected at 43 sites were analyzed. The monitoring program provided valuable insights into the development of the pandemic situation in Tyrol and fulfilled several tasks that are of importance in different phases of the pandemic. It represented an early-warning system, provided independent confirmation of temporal trends in COVID-19 prevalence, enabled the assessment of the effectiveness of measures, alerted about bursts of disease activity, and provided evidence for the absence of COVID-19. These findings underline the importance of establishing national wastewater monitoring programs as a complementary source of information for efficient and effective pandemic management.
Identification of a Four Cancer Stem Cell-Related Gene Signature and Establishment
of a Prognostic Nomogram Predicting Overall Survival of
Pancreatic Adenocarcinoma
Authors: Li Shuanghua , Chen Rui , Luo Wang , Lin Jinyu , Chen Yunlong , Wang Zhuangxiong , Lin Wenjun , Li Baihong , Wang Junfeng , Yang Jian 
Published: January 2022

Background:
Cancer stem cells (CSCs) are now being considered as the initial component
in the development of pancreatic adenocarcinoma (PAAD). Our aim was to develop a CSCrelated
signature to assess the prognosis of PAAD patients for the optimization of treatment.

Materials and Methods:
Differentially expressed genes (DEGs) between pancreatic tumor and
normal tissue in the Cancer Genome Atlas (TCGA) were screened out, and the weighted gene correlation
network analysis (WGCNA) was employed to identify the CSC-related gene sets. Then,
univariate, Lasso Cox regression analyses and multivariate Cox regression were applied to construct
a prognostic signature using the CSC-related genes. Its prognostic performance was validated
in TCGA and ICGC cohorts. Furthermore, Univariate and multivariate Cox regression analyses
were used to identify independent prognostic factors in PAAD, and a prognostic nomogram was
established.

Results:
The Kaplan-Meier analysis, ROC curve and C-index indicated the good performance of
the CSC-related signature at predicting overall survival (OS). Univariate Cox regression and multivariate
Cox regression revealed that the CSC-related signature was an independent prognostic
factor in PAAD. The nomogram was superior to the risk model and AJCC stage in predicting OS.
In terms of mutation and tumor immunity, patients in the high-risk group had higher tumor mutation
burden (TMB) scores than patients in the low-risk group, and the immune score and the ESTIMATE
score were significantly lower in the high-risk group. Moreover, according to the results
of principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA), the low-risk
and high-risk groups displayed different stemness statuses based on the risk model.

Conclusion:
Our study identified four CSC-related gene signatures and established a prognostic
nomogram that reliably predicts OS in PAAD. The findings may support new ideas for screening
therapeutic targets to inhibit stem characteristics and the development of PAAD.
Natural Bridged Bicyclic Peptide Macrobiomolecules from Celosia argentea and Amanita phalloides
Authors: Dahiya Rajiv , Dahiya Sunita , Fuloria Neeraj Kumar , Mourya Rita , Dahiya Saurabh , Fuloria Shivkanya , Kumar Suresh , Shrivastava Jyoti , Saharan Renu , Chennupati Suresh V. , Patel Jayvadan K. 
Published: January 2022

Abstract:
Bridged peptide macrobicycles (BPMs) from natural resources belong to types of compounds that are not investigated fully in terms of their formation, pharmacological potential, and stereo- chemical properties. This division of biologically active congeners with multiple circular rings has merits over other varieties of peptide molecules. BPMs form one of the most hopeful grounds for the establishment of drugs because of their close resemblance and biocompatibility with proteins, and these bio-actives are debated as feasible, realistic tools in diverse biomedical applications. Despite huge potential, poor metabolic stability and cell permeability limit the therapeutic success of macrocyclic peptides. In this review, we have comprehensively explored major bicyclic peptides sourced from plants and mushrooms, including βs-leucyl-tryptophano-histidine bridged and tryptophanocysteine bridged peptide macrobicycles. The unique structural features, structure-activity relationship, synthetic routes, bioproperties, and therapeutic potential of the natural BPMs are also discussed.
Computational and Experimental Investigations of 7-(4-nitrophenyl)benzo [6,7]chromeno[3,2-e]pyrido[1,2-a]pyrimidin-6(7h)-one
Authors: Rai Sonam , Bishnoi Abha , Devi Poornima , Afza Nishat 
Published: January 2022

Acstract:In-silico studies are used for the prediction of the properties of several novel materials using the computer simulation technique. The present study describes the complete description of the molecular vibrations and electronic features of the title compound by this technique. 7-(4-nitrophenyl)benzo[6, 7]chromeno[3,2-e]pyrido[1,2-a]pyrimidin-6(7H)-one was prepared by the multicomponent reaction of 2H-pyrido[1,2-a]pyrimidine-2,4(3H)-dione, 2-naphthol and p-nitrobenzaldehyde. The structure of the compound was confirmed by UV, IR, NMR (1H, 13C), and mass spectroscopic studies. The compound was further subjected to quantum chemical calculations at the level of Hartree-Fock (HF) method using Lan2DZ basis set to compute polarizability, hyperpolarizabilities, AIM approach, Natural bond orbital analysis, complete vibrational assignments, Mulliken charges, spectral analysis and HOMO-LUMO energies.
Data Analysis and Mapping of Research Interest in Clinical Trials of
Tuberculosis by Text Mining Platform of Artificial Intelligence using
Open-Source Tool Orange Canvas
Authors: Patel Swayamprakash , Patel Ashish , Shah Umang , Patel Mehul , Solanki Nilay , Patel Mruduka , Patel Suchita 
Published: January 2022

Background:
Reading every clinical trial for any disease is tedious, as is determining the
current progress, especially when the number of clinical trials is huge. The Text Mining Platform of
Artificial Intelligence (AI) can help to simplify the task.

Methods:
A large pool of tuberculosis clinical trials has been searched through the International Clinical
Trial Registry Platform (ICTRP) and used as a textual dataset. The exported dataset of 1635 clinical
studies, in a comma-separated format, is preprocessed for data analysis and text mining. Data preparation,
corpus generation, text preprocessing, and finally, cluster analysis were carried out using the textmining
widget of the open-source machine learning tool. The hierarchical cluster analysis was used for
mapping research interests in tuberculosis clinical trials.

Result and Conclusion:
The data mining of the exported dataset of tuberculosis clinical trials uncovered interesting
facts in terms of numbers. Text mining presented a total of 41 hierarchical clusters that were further
mapped in twenty-five (25) different research interests among tuberculosis clinical trials. A novel
technique for the rapid and practical review of major clinical trials is demonstrated. As an open-source
and GUI-based tool is used for work, any researcher with working knowledge of text mining may also
use this technique for other clinical trials.
Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality
Authors: Agher Dahbia , Sedki Karima , Despres Sylvie , Albinet Jean-Pierre , Jaulent Marie-Christine , Tsopra Rosy 
Published: January 2022

Background
Cardiovascular diseases are a major cause of death worldwide. Mobile health apps could help in preventing cardiovascular diseases by improving modifiable risk factors such as eating habits, physical activity levels, and alcohol or tobacco consumption.

Objective
The aim of this study was to design a mobile health app, Prevent Connect, and to assess its quality for (1) assessing patient behavior for 4 cardiovascular risk factors (unhealthy eating, sedentary lifestyle, alcohol, and tobacco consumption) and (2) suggesting personalized recommendations and mobile health interventions for risky behaviors.

Methods
The knowledge base of the app is based on French national recommendations for healthy eating, physical activity, and limiting alcohol and tobacco consumption. It contains a list of patient behaviors and related personalized recommendations and digital health interventions. The interface was designed according to usability principles. Its quality was assessed by a panel of 52 users in a 5-step process: completion of the demographic form, visualization of a short presentation of the app, testing of the app, completion of the user version of the Mobile App Rating Scale (uMARS), and an open group discussion.

Results
This app assesses patient behaviors through specific questionnaires about 4 risk factors (unhealthy eating, sedentary lifestyle, alcohol, and tobacco consumption) and suggests personalized recommendations and digital health interventions for improving behavior. The app was deemed to be of good quality, with a mean uMARS quality score of 4 on a 5-point Likert scale. The functionality and information content of the app were particularly appreciated, with a mean uMARS score above 4. Almost all the study participants appreciated the navigation system and found the app easy to use. More than three-quarters of the study participants found the app content relevant, concise, and comprehensive. The aesthetics and the engagement of the app were also appreciated (uMARS score, 3.7). Overall, 80% (42/52) of the study participants declared that the app helped them to become aware of the importance of addressing health behavior, and 65% (34/52) said that the app helped motivate them to change lifestyle habits.

Conclusions
The app assessed the risky behaviors of the patients and delivered personalized recommendations and digital health interventions for multiple risk factors. The quality of the app was considered to be good, but the impact of the app on behavior changes is yet to be demonstrated and will be assessed in further studies.
Validación de un Modelo de Medición de Responsabilidad Social. Un Estudio Multivariado Transeccional del Sector- Bananero
Authors: Saltos-Cruz Juan Gabriel , Zavala-Calahorrano Alicia Marifernanda , León-Saltos Amparito Cecilia , Villalba-Orozco Adriana Katherine 
Published: January 2022

Introducción. Esta investigación constituye el resultado de una revisión bibliográfica y una validación estadística multivariante. En esta se plantean las aristas de medición del estado actual de responsabilidad social. Objetivo. Diseñar un instrumento de diagnóstico de la gestión de responsabilidad social para el sector agrícola. El instrumento de diagnóstico de la responsabilidad social se estableció en referencia a la ISO 26000 en el sector bananero de la provincia de Los Ríos, República del Ecuador. Materiales y métodos. El presente estudio fue de tipo no experimental. El método teórico utilizado fue el inductivo-deductivo a partir del análisis de cinco modelos de responsabilidad social. El método empírico ejecutado fue de recolección de información con un instrumento estructurado por escalas de Likert de 5 opciones. El procedimiento estadístico empleado en la medición de la calidad instrumental estuvo conformado por análisis de fiabilidad y análisis factorial. Resultados. Los indicadores de fiabilidad evidencian un Alfa de Cronbach de 0,754 y un Alfa de Cronbach de dos mitades de 0,852 y 0,783. Los indicadores del análisis factorial muestran un KMO de 0,788, Prueba de esfericidad de Bartlett con un CHI-cuadrado de 1644,521, grados de libertad de 210 y una significancia estadística de 0,000; Una varianza total explicada de 7 grupos con una varianza acumulada del 80,76 %. Conclusión. El constructo en estudio y las siete aristas en cuestión poseen un alto grado de fiabilidad y validez. Además, el instrumento es apto para su aplicación en las empresas del sector bananero.
Do older adult cancer survivors experience worse health-related quality of life in comparison to middle-aged cancer survivors? A secondary data analysis of the 2014 behavioral risk factor surveillance study
Authors: Vang Suzanne Sharry 
Published: January 2022

Objectives: The primary aim of this paper was to examine the potential differences in health-related quality of life (HRQOL) between middle-aged (45–64 years old) and older adult (65 years and older) cancer survivors utilizing the contextual model of health-related quality of life.
Methods and Materials: The author conducted a secondary data analysis of the 2014 behavioral risk factor surveillance system cancer survivorship module survey. Only respondents age 45 and older were included, resulting in n = 5656.
Results: Older adult cancer survivors reported significantly better physical and mental HRQOL than middle-aged cancer survivors. In regard to physical HRQOL, respondents who were older adults, employed, completed treatment, and exercised recently were more likely to report good physical HRQOL. Respondents with comorbid conditions and those with greater years since diagnosis were more likely to report poor HRQOL. In regard to mental HRQOL, respondents who were older, married, or had completed treatment were more likely to have good mental HRQOL. Respondents who were unemployed, had experienced financial cost as a barrier to care, had stroke or chronic obstructive pulmonary disorder, or a history of depression were more likely to report poor mental HRQOL.
Conclusion: Older adult cancer survivors experience better mental and physical HRQOL compared to their middle-aged counterparts. Efforts to improve HRQOL in cancer survivors should include middle-aged adults as well as cancer survivors who are unmarried, still in treatment, or have comorbidities. Greater research is needed to better understand how age differentially affects HRQOL in persons with a cancer history.
This paper was published by Scientific Scholar and has been archived here.
Effect of Pandemic on Women Entrepreneur Sustainability and Post Pandemic Opportunity on SMEs: Case Study of South Punjab
Authors: Sabir Muhammad Talha , Shoukat Ayesha 
Published: January 2022

Purpose: The pandemic posed a major challenge to entrepreneurs around the world. Women entrepreneurs contribute significantly to economic growth. The recent pandemic situation impacted their reach to some extent, but women entrepreneurs, with their strong dedication against the crisis, succeeded during this process. Effect of pandemic on women entrepreneur sustainability is examined in this study. Design/Methodology/Approach: Entrepreneurship, Institutional and Social learning theories were used in this study. For conducting this research, the data is gathered from 309 respondents. SPSS is used for descriptive analysis and inferential analysis using the software Smart PLS 3. The provided hypothesis was analyzed in two-step approach using partial least squares structural equation modeling (Smart-PLS 3). Findings: The results show a significant link between the variables. While the pandemic as a moderator showed an insignificant relationship between women's entrepreneur orientation and women's entrepreneur sustainability in SMEs, the moderating role has significant moderation on the relationship between SMEs' growth and women's entrepreneur sustainability in SMEs. Implications/Originality/Value: Increases in women's entrepreneur orientation and SME growth resulted in increases in women's entrepreneur sustainability in SMEs, but the novelty of this study is to describe how pandemics play as moderator roles in women's entrepreneur orientation, SME growth, and women's entrepreneur sustainability in SMEs.
Estimate for Survival and Related Functions of Weighted Rayleigh Distribution.
Authors: A. Zain Saad , Hassan Hussein Iden 
Published: January 2022

In this paper, we introduce a new class of Weighted Rayleigh Distribution based on two parameters, one is the scale parameter and the other is the shape parameter introduced in Rayleigh distribution. The main properties of this class are derived and investigated . The moment method and least square method are used to obtain estimators of parameters of this distribution. The probability density function, survival function, cumulative distribution and hazard function are derived and found. Real data sets are collected to investigate two methods that depend on in this study. A comparison is made between two methods of estimation and clarifies that MLE method is better than the OLS method by using the mean squares error.
Tax policy of Ukraine in modern conditions
Authors: Malyshko Vitalina 
Published: January 2022

Subject of research is tax policy. The aim of the study is analysis of tax policy of Ukraine in modern conditions. The methods used during the study: generalization, method of comparative analysis, method of system-structural analysis and synthesis, statistical, general scientific, special methods of scientific knowledge and other research methods. The results of the work. The essence of tax policy is described. The main methods of shifting the tax burden and the main purpose of taxes are indicated. It is indicated which issues remain unresolved and need further research. The scope of the results: State Tax Service of Ukraine, Ministry of Finance of Ukraine, the Verkhovna Rada of Ukraine, local self-government bodies, united territorial communities. Conclusions. In the context of globalization, a special place is occupied by tax policy, because taxation, as a social institution, is one of the main instruments of social policy of the state. An important condition for the success and effectiveness of the further development of Ukrainian society is the subordination of tax policy to the course of socio-economic transformation, taking into account their bilateral interdependence. The development of the tax system should take place in accordance with the long-term macroeconomic development goals of Ukraine. On the one hand, it is the construction of a socially oriented economy, and on the other – to stimulate the development of national production and ensure its competitiveness. Given these development goals, the main characteristics that the tax system should acquire in the reform process are social orientation and high efficiency of its regulatory potential.