bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy of mHealth and education-led peer counseling for patients with hypertension and coronary artery disease in Pakistan: study protocol for a double-blinded pragmatic randomized-controlled trial with factorial design
Authors: Arshed Muhammad , Zakar Rubeena , Umer Muhammad Farooq , Kiran Mehwish , Ullah Najeeb , Iftikhar Ghazala , Fischer Florian 
Published: July 2023

Abstract
Background
Hypertension is a highly relevant public health challenge. Digital interventions may support improving adherence to anti-hypertensive medications and alter health behavior. Therefore, this protocol describes a study that aims to assess the effectiveness of mHealth and educational support through peer counseling (Ed-counselling) to control blood pressure in hypertensive patients when compared to standard care.

Methods
We chose a double-blinded pragmatic randomized-controlled with factorial design for this investigation. The trial is going to recruit 1648 hypertensive patients with coronary artery disease at the age of 21 to 70 years. All participants will already be on anti-hypertensive medication and own a smartphone. They will be randomized into four groups with each having 412 participants. The first group will only receive standard care; while the second group, in addition to standard care, will receive monthly Ed-counselling (educational booklets with animated infographics and peer counseling); the third group will receive daily written and voice reminders and an education-led video once weekly together with standard care; while the fourth one gets both interventions given to second and third groups respectively. All groups will be followed-up for 1 year (0, 6, and 12 months). The primary outcome will be the change in systolic blood pressure while secondary outcomes include health-related quality of life and changes in medication adherence. For measuring changes in systolic blood pressure (SBP) and adherence scores difference at 0, 6, and 12 months between and within the group, parametric (ANOVA/repeated measure ANOVA) and non-parametric tests (Kruskal-Wallis test/Friedman test) will be used. By using the general estimating equation (GEE) with negative binomial regression, at 12 months, the covariates affecting primary and secondary outcomes will be determined and controlled. The analysis will be intention-to-treat. All the outcomes will be analyzed at 0, 6, and 12 months; however, the final analysis will be at 12 months from baseline.

Discussion
Besides adding up to existing evidence in the literature on the subject, our designed modules using mHealth technology can help in reducing hypertension-related morbidity and mortality in developing countries.
Worldwide productivity and research trend of publications concerning tumor immune microenvironment (TIME): a bibliometric study
Authors: Liu Yao-Ge , Jiang Shi-Tao , Zhang Lei , Zheng Han , Zhang Ting , Zhang Jun-Wei , Zhao Hai-Tao , Sang Xin-Ting , Xu Yi-Yao , Lu Xin 
Published: July 2023

Abstract
Background
As the complexity and diversity of the tumor immune microenvironment (TIME) are becoming better understood, burgeoning research has progressed in this field. However, there is a scarcity of literature specifically focused on the bibliometric analysis of this topic. This study sought to investigate the development pattern of TIME-related research from 2006 to September 14, 2022, from a bibliometric perspective.

Methods
We acquired both articles and reviews related to TIME from the Web of Science Core Collection (WoSCC) (retrieved on September 14, 2022). R package “Bibliometrix” was used to calculate the basic bibliometric features, present the collaborative conditions of countries and authors, and generate a three-field plot to show the relationships among authors, affiliations, and keywords. VOSviewer was utilized for co-authorship analysis of country and institution and keyword co-occurrence analysis. CiteSpace was used for citation burst analysis of keywords and cited references. In addition, Microsoft Office Excel 2019 was used to develop an exponential model to fit the cumulative publication numbers.

Results
A total of 2545 publications on TIME were included, and the annual publication trend exhibited a significant increase over time. China and Fudan University were the most productive country and institution, with the highest number of publications of 1495 and 396, respectively. Frontiers in Oncology held the highest number of publications. A number of authors were recognized as the main contributors in this field. The clustering analysis revealed six clusters of keywords that highlighted the research hot spots in the fields of basic medical research, immunotherapy, and various cancer types separately.

Conclusions
This research analyzed 16 years of TIME-related research and sketched out a basic knowledge framework that includes publications, countries, journals, authors, institutions, and keywords. The finding revealed that the current research hot spots of the TIME domain lie in “TIME and cancer prognosis”, “cancer immunotherapy”, and “immune checkpoint”. Our researchers identified the following areas: “immune checkpoint-based immunotherapy”, “precise immunotherapy” and “immunocyte pattern”, which may emerge as frontiers and focal points in the upcoming years, offering valuable avenues for further exploration.
Bioaccumulation of potentially toxic elements by indigenous and exotic trees growing around a copper leaching plant in Mufulira, Zambia
Authors: Mulenga Charles , Phiri Darius , Ortega-Rodriguez Daigard Ricardo , Meincken Martina 
Published: July 2023

AbstractPotentially toxic elements (PTEs) from mining industries pollute the surrounding environment and threaten the health of communities. Worldwide, exotic and indigenous trees are being recommended for green belts to trap dust and thereby limit the dispersion of PTEs. This study compares the potential of exotic (Eucalyptus grandis and E. camaldulensis) and native (Brachystegia longifolia) tree species in Zambia to accumulate PTEs and evaluate their ability to biomonitor heavy metal pollution. Tree bark and leaf samples were collected from 10 trees per study species growing at the same site downwind from a copper-leaching plant. Thirty topsoil samples were collected one metre from each sampled tree trunk. Portable X-ray fluorescence was used to analyse the elemental composition and concentration of trace elements in plant and soil samples. Pollution indices were used to establish the status and degree of soil contamination, while the bioaccumulation factor determined the ability of the studied species to accumulate PTEs. Heavy metals, including Mn, Ni, Pb, Cd, Cu, Fe and Zn were detected across soil and biomass samples, with a significant variation between species and plant parts. The pollution indices established that the soil at the study site is highly contaminated with Cu. The concentration of the studied trace elements varied across species following the order E. grandis > B. longifolia > E. camaldulensis in both tree bark and leaves. Determined bioaccumulation factors indicated Cd, Mn and Zn accumulation abilities of all the studied species suggesting their biomonitoring and phytoremediation potential. This implies that the study species have the potential to biomonitor Cd, Mn and Zn. Furthermore, a higher concentration of Cu was detected in B. longifolia bark, suggesting that this tree species can be used to biomonitor Cu pollution attributed to emissions from industrial activities. This study presents new insights into improving the management of polluted environments through biomonitoring and bioaccumulation of PTEs which can guide the selection of appropriate species for greenbelts in industrial areas.
Assessing seed and breeding interventions for organic farming using a multiagent value chain approach
Authors: Winter Eva , Grovermann Christian , Messmer Monika M. , Aurbacher Joachim 
Published: July 2023

AbstractAccording to the EU’s organic regulation, the use of organic seed is generally binding in organic farming. Because of an organic seed shortage, derogations to use nonorganic seed can be obtained. By 2036, the EU plans to phase out these derogations and achieve 100% organic seed use. Previous attempts at achieving this, though, have failed. Ensuring organic seed supply is of particular EU-wide importance to meet EU policy goals, such as the farm-to-fork strategy. To assess the impact of measures to smooth this transition, we developed the VAL-MAS model (VALue chain Multi-Agent System). VAL-MAS is a multiagent model based on a heterogeneous agent population and mathematical programming that can provide insights into the performance of different seed system interventions. We selected organic fresh market carrots in Germany for their importance in the national and European organic sector as an example case. Our model suggests that the end of the derogation system poses a challenge to the seed value chain in terms of seed supply and farm incomes. The most effective mitigation solution is an investment in improved pest control during seed multiplication, accompanied by a stepwise phasing out of derogations for the use of nonorganic seed.
Media screen time use and mental health in school aged children during the pandemic
Authors: Hmidan Amira , Seguin Diane , Duerden Emma G. 
Published: July 2023

Abstract
Background
Children’s screen time activity has increased significantly during the pandemic. Extended school closures and heightened parent stress are associated with children’s behavioural difficulties and time spent watching screens. The primary aim of this study was to determine which school and household factors were associated with challenging behaviours in Canadian schoolchildren during the COVID-19 pandemic.

Methods
This longitudinal survey study examined the association amongst screen time, internalizing and externalizing behaviours in school-aged children at two time points over the 2020–2021 academic school year. Parents completed survey measures on their parental involvement, stress levels, and their child’s screen time use as well as their emotional and behavioural difficulties.

Results
Children’s average daily screen time was 4.40 h (SE = 18.45) at baseline and 3.89 h (SE = 16.70) at 1-year follow up, with no significant change across the school year (p = .316). Increased screen time use was associated with a greater incidence of internalizing behaviours in children (p = .03). Children who spent more time on screens and who were in households with parents reporting higher stress levels had increased internalizing behaviours (p < .001). No association between screen time use and externalizing behaviours was evident; however, parent stress was positively associated with children’s externalizing behaviours (p < .001).

Conclusions
Children’s screen time use has remained high during the pandemic and is associated with anxious and depressive symptoms. Children who spent more time on screens and who were in households with parents reporting higher stress levels had increased internalizing behaviours. Parent stress was positively associated with children’s externalizing behaviours. Targeted family intervention plans focused on reducing parent stress and screen time use may aid in improving children’s mental health during the ongoing pandemic.
Influence of mental health on information seeking, risk perception and mask wearing self-efficacy during the early months of the COVID-19 pandemic: a longitudinal panel study across 6 U.S. States
Authors: Welton-Mitchell Courtney , Dally Miranda , Dickinson Katherine L. , Morris-Neuberger Lindsay , Roberts Jennifer D. , Blanch-Hartigan Danielle 
Published: July 2023

Abstract
Background
Understanding factors that influence information seeking, assessment of risk and mitigation behaviors is critical during a public health crises. This longitudinal study examined the influence of self-reported mental health during the early months of the COVID-19 pandemic on information seeking, risk perception and perceived mask wearing ability. Mental health screener items included fear, anger, and hopelessness in addition to avoidance, diminished functional ability and global distress. Theoretical models inform hypotheses linking mental health items and outcomes.

Methods
The research employed a longitudinal 6-state 3-wave online panel survey, with an initial sample of 3,059 participants (2,232 included in longitudinal analyses). Participants roughly represented the states’ age, race, ethnicity, and income demographics.

Results
Women, those who identified as Hispanic/Latinx, Black Americans and lower income participants reported higher overall rates of distress than others. Information seeking was more common among older persons, Democrats, retirees, those with higher education, and those who knew people who had died of COVID-19. Controlling for such demographic variables, in multivariable longitudinal models that included baseline mental health measures, distress and fear were associated with increased information seeking. Distress and fear were also associated with increased risk perception, and feelings of hopelessness were associated with lower reported mask-wearing ability.

Conclusions
Results advance understanding of the role mental health can play in information seeking, risk perception and mask wearing with implications for clinicians, public health practitioners and policy makers.
Reconstructing long-term settlement histories on complex alluvial floodplains by integrating historical map analysis and remote-sensing: an archaeological analysis of the landscape of the Indus River Basin
Authors: Garcia-Molsosa Arnau , Orengo Hector A. , Petrie Cameron A. 
Published: July 2023

Abstract
Alluvial floodplains were one of the major venues of the development and long-term transformation of urban agrarian-based societies. The historical relationship between human societies and riverine environments created a rich archaeological record, but it is one that is not always easy to access due to the dynamism of alluvial floodplains and the geomorphological processes driven their hydrological regimes. Alluvial floodplains are also targeted for urban and agricultural expansion, which both have the potential to pose threats to cultural heritage and the environment if not carefully managed. Analysis that combines Historical Cartography and Remote Sensing sources to identify potential archaeological sites and river palaeochannels is an important first step towards the reconstruction of settlement patterns in different historical periods and their relationship to the history of hydrological networks. We are able to use different computational methods to great effect, including algorithms to enhance the visualization of different features of the landscape; and for processing large quantity of data using Machine-Learning based methods. Here we integrate those methods for the first time in a single study case: a section of the Indus River basin. Using a combined approach, it has been possible to map the historical hydrological network in a detail never achieved before and identify hundreds of potential archaeological sites previously unknown. Discussing these datasets together, we address the interpretation of the archaeological record, and highlight how Remote Sensing approaches can inform future research, heritage documentation, management, and preservation. The paper concludes with a targeted analysis of our datasets in the light of previous field-based research in order to provide preliminary insights on how long-term processes might have re-worked historical landscapes and their potential implications for the study of settlement patterns in different Historical periods in this region, thereby highlighting the potential for such integrated approaches.
The evolution of Big Data in neuroscience and neurology
Authors: Dipietro Laura , Gonzalez-Mego Paola , Ramos-Estebanez Ciro , Zukowski Lauren Hana , Mikkilineni Rahul , Rushmore Richard Jarrett , Wagner Timothy 
Published: July 2023

AbstractNeurological diseases are on the rise worldwide, leading to increased healthcare costs and diminished quality of life in patients. In recent years, Big Data has started to transform the fields of Neuroscience and Neurology. Scientists and clinicians are collaborating in global alliances, combining diverse datasets on a massive scale, and solving complex computational problems that demand the utilization of increasingly powerful computational resources. This Big Data revolution is opening new avenues for developing innovative treatments for neurological diseases. Our paper surveys Big Data’s impact on neurological patient care, as exemplified through work done in a comprehensive selection of areas, including Connectomics, Alzheimer’s Disease, Stroke, Depression, Parkinson’s Disease, Pain, and Addiction (e.g., Opioid Use Disorder). We present an overview of research and the methodologies utilizing Big Data in each area, as well as their current limitations and technical challenges. Despite the potential benefits, the full potential of Big Data in these fields currently remains unrealized. We close with recommendations for future research aimed at optimizing the use of Big Data in Neuroscience and Neurology for improved patient outcomes.
Understanding the antecedents of intention for using mobile learning
Authors: Kashive Neerja , Phanshikar Dharini 
Published: July 2023

AbstractThis study aimed to identify the factors, which affect the continuance of mobile learning. The study has looked at epistemological, social, and security risk factors based on Magsayo (Interact Technol Smart Educ 20(2):177–208) and how they affect the perceived functional benefits (PFB) and perceived learner value (PLV). Further locus of control and self-efficacy are two personal factors that are investigated in the study to understand mobile learning acceptance continuance. 260 respondents of the study were students and professionals from India who have used mobile for learning. Based on previous research, hypotheses were formulated and tested empirically by building a model using smart PLS structure equation modeling. It was observed that epistemological, security risk and social factors did affect the computer self-efficacy and locus of control of the learners. Epistemological and social factors do contribute to developing PFB and PLV leading to higher mobile learning acceptance continuance. PFB and PLV also showed mediating effects. Based on Magsayo's (2023) previous work, the study has a unique contribution in showing that epistemological and social factors along with security risk do help in developing PFB and PLV leading to higher mobile learning acceptance continuance. These findings can help us understand ways to the development of mobile learning content and context for higher impact.
Improving reflective evaluations of sport through repeated experiences of fun—rationale, design, feasibility, and acceptability of the PlayFit Youth Sport Program
Authors: Ladwig Matthew A. , Sciamanna Christopher N. , Luzier Gavin , Blaker Joshua M. , Agans Jennifer P. , Visek Amanda J. 
Published: July 2023

Abstract
Introduction
Adolescents who drop out of sport often report that it had become less ‘fun’ and ‘enjoyable’ over time. Although preadolescent sport typically emphasizes experiences of fun, emphases on competition and elite performance often dominate during adolescence. We theorized that adherence to adolescent sport might be improved if the overarching goal were to maximize repeated experiences of fun during sport and, subsequently, increase reflective evaluations of sport enjoyment. To that end, this manuscript reports on the rationale and design of the PlayFit Youth Sport Program (PYSP), as well as its preliminary feasibility and acceptability. The main objectives were to evaluate the feasibility of recruitment strategies and data collection procedures and the acceptability of the intervention.

Setting
An outdoor, multipurpose grass field at a south-central Pennsylvania middle school.

Methods
A mixed-methods, single-arm feasibility trial lasting for 8 weeks (August–October 2021) offered 3-times per week for 1-h per session. The equipment, ruleset, and psychosocial environment of the PYSP sport games were modified to reduce several of the constraints theorized to impair experiences of fun during sport and hamper reflective evaluations of enjoyment afterward.

Results
Eleven healthy, but sedentary adolescents in grades 5–7 completed the program. The median number of sessions attended (of 16 possible) was 12 (range = 6–13). Post-intervention, 9/10 respondents indicated that they ‘looked forward’ to the PYSP, 8/10 would recommend it to a friend, and 8/10 were interested in continuing the program. Ten of 11 participant guardians expressed interest in reenrolling their children if the PYSP were offered again. Some changes recommended were to improve recruitment via advertising the positive aspects of the program and “word of mouth” techniques, offering the program immediately following the school day, having contingencies for inclement weather, and minor changes to the sport equipment to improve the experience among the population the PYSP intends to attract.

Conclusions
The adjustments recommended in this preliminary work could be used to further refine the PYSP. A future efficacy trial could explore whether the PYSP may reduce attrition for adolescents who experience existing sport programs negatively by offering an alternative that better matches their unique needs and preferences.
Anti-diabetic properties of traditional herbal concoction containing Eleutherine palmifolia (L.) Merr., Momordica charantia L., and Syzygium polyanthum (Wight.): a bibliometric analysis
Authors: Hairani Muhammad Afnan Shakir , Abdul Majid Fadzilah Adibah , Zakaria Nor Hafizah , Hudiyanti Dwi , Fadhlina Anis , Sheikh Hassan Ibrahim 
Published: July 2023

AbstractEleutherine palmifolia, Momordica charantia, and Syzygium polyanthum are herbal plants, traditionally used as natural remedies for diabetes. There have been numerous articles published on the anti-diabetic efficacy of these plants; yet, no bibliometric study on the subject is available. In this study, the published papers on the utilization of E. palmifolia, M. charantia, and S. polyanthum as anti-diabetic agents were examined using bibliometric approach, focusing on countries, organizations, authors, and keywords. The phytochemicals, pharmacological properties, and mechanism of action of each herbal plant associated with diabetes were also discussed in detail. The data were searched through the SCOPUS database and bibliometric analysis was performed using VOSviewer software. The World Flora Online (WFO) was used to confirm the identity of the plant species. A total of 1008 articles were retrieved with M. charantia (977 articles) showing the highest number of publishing articles compared to E. palmifolia (9 articles), and S. polyanthum (22 articles). Upon further review of these plants, the findings showed that each plant has active ingredients that can prevent as well as control the complications of diabetes. Eleutherol, eleuthenone, eleutherinoside A, kuguacin, momordicin, vicine, squalene, myricitrin and epigallocatechin gallate (EGCG) were among the phytochemicals responsible for the effect. The possible underlying mechanisms of action were attributed to lowering blood glucose, increasing insulin production, inhibiting intestinal glucose absorption, and enhancing glucose uptake by the muscles. Based on the review, it is evidenced that the individual plants demonstrated a promising anti-diabetic activity, thus, it is recommended to conduct further studies using a polyherbal mixture, combining these three extracts and analyzing using in vitro and in vivo models.
Graphical Abstract